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iLovePhD is a comprehensive research platform that serves as a one-stop solution for all research needs. It offers a wide range of services including access to journals, postdoc opportunities, scholarships, IoT security tools, job listings, datasets, and UGC-CARE journals. The platform also features ChatGPT for plagiarism detection and artificial intelligence applications. iLovePhD aims to assist researchers and academicians in publishing impactful work and staying updated with the latest trends in the academic world.

This Person Does Not Exist is a website that generates random, realistic faces of people who do not exist. The website uses a neural network called StyleGAN, developed by Nvidia, to create these faces. StyleGAN is a generative adversarial network (GAN), which is a type of machine learning algorithm that can generate new data from a given dataset. In the case of StyleGAN, the dataset is a collection of images of human faces. The GAN is trained on this dataset, and it learns to generate new faces that are realistic and indistinguishable from real faces.

The Education Data Center (EDC) Version 2.0 is a platform dedicated to providing clear and timely access to education data for researchers and education stakeholders. It offers a State Assessment Data Repository, a leading database of state assessment data in the United States. Users can download data files, utilize a custom-made AI tool to query the data, and access information about the EDC. The platform aims to support evidence-based decision-making to enhance the educational support for the nation's students.

This Beach Does Not Exist is an AI application powered by StyleGAN2-ADA network, capable of generating realistic beach images. The website showcases AI-generated beach landscapes created from a dataset of approximately 20,000 images. Users can explore the training progress of the network, generate random images, utilize K-Means Clustering for image grouping, and download the network for experimentation or retraining purposes. Detailed technical information about the network architecture, dataset, training steps, and metrics is provided. The application is based on the GAN architecture developed by NVIDIA Labs and offers a unique experience of creating virtual beach scenes through AI technology.

Suno AI Download is a free tool for downloading music generated by Suno AI. It allows users to download music from Suno AI's website by providing a share URL. The tool is easy to use and does not require any registration or installation.

Genius.io is a cutting-edge platform that empowers individuals to harness the latest technologies, share their innovative creations, and foster meaningful connections within a vibrant community. Its mission is to provide a platform where every idea, no matter how big or small, has the potential to make a significant impact.

Microsoft Store is a digital distribution platform developed by Microsoft Corporation for purchasing and downloading applications for Windows devices. It offers a wide range of apps, games, software, and other digital content for users to enhance their Windows PC experience. With a user-friendly interface, the Microsoft Store provides a convenient way for customers to explore and install various applications tailored to their needs.

Suno-Top is a free AI-powered music downloader tool that allows users to easily download Suno music, including mp3 and mp4 files, lyrics, covers, and song prompts. Users can copy the Suno song link, paste it on the website, and download the desired content. Additionally, Suno-Top offers creative AI music crafting techniques, such as live performances, beat enhancements, instrumental nuances, and duet dynamics, to enhance musical creativity and collaboration. The tool supports various music genres and styles, providing a unique platform for users to explore and experiment with different musical compositions.

The App Store by Apple is a trusted platform where users can discover and download a wide range of apps for their Apple devices. With nearly two million apps available worldwide, the App Store offers a safe and innovative destination focused on providing amazing experiences. The platform ensures high standards for privacy, security, and content, making it a reliable source for users to explore new apps. Through curated stories, personalized suggestions, and a rich search experience, users can easily find apps that suit their preferences. The App Store also emphasizes privacy and security, with strict guidelines for app developers to follow. With a focus on trust and safety, the platform features human App Reviewers who ensure that apps adhere to strict review standards. Additionally, the App Store supports a diverse range of apps while maintaining age-appropriate content for users. Overall, the App Store is designed to unlock the full potential of Apple devices, providing users with a seamless and secure app downloading experience.

LM Studio is an AI tool designed for discovering, downloading, and running local LLMs (Large Language Models). Users can run LLMs on their laptops offline, use models through an in-app Chat UI or a local server, download compatible model files from HuggingFace repositories, and discover new LLMs. The tool ensures privacy by not collecting data or monitoring user actions, making it suitable for personal and business use. LM Studio supports various models like ggml Llama, MPT, and StarCoder on Hugging Face, with minimum hardware/software requirements specified for different platforms.

ttsMP3.com is a free Text-To-Speech and Text-to-MP3 tool that allows users to easily convert US English text into professional speech for various purposes such as e-learning, presentations, YouTube videos, and website accessibility. The tool offers a wide range of voices in different languages and accents, including regular and AI voices. Users can download the generated speech as MP3 files, and customize speech with features like breaks, emphasis, speed adjustments, pitch variations, whispers, and conversations. Supported voice languages include Arabic, English, Portuguese, Spanish, Chinese, Danish, Dutch, French, German, Icelandic, Indian, Italian, Japanese, Korean, Mexican, Norwegian, Polish, Romanian, Russian, Swedish, Turkish, and Welsh.

Cascadeur is a standalone 3D software that lets you create keyframe animation, as well as clean up and edit any imported ones. Thanks to its AI-assisted and physics tools you can dramatically speed up the animation process and get high quality results. It works with .FBX, .DAE and .USD files making it easy to integrate into any animation workflow.

SORA AI Video Generator is a powerful online tool that allows you to create stunning videos from text. With SORA AI, you can easily convert your written content into engaging and informative videos, perfect for marketing, education, and more. SORA AI's advanced artificial intelligence technology analyzes your text and automatically generates a video that is tailored to your specific needs. You can customize your videos with a variety of features, including text-to-speech narration, background music, and images. SORA AI also offers a wide range of templates to help you get started quickly and easily.

PseudoEditor is a free, fast, and online pseudocode IDE/editor that aims to simplify the process of writing pseudocode. It offers dynamic syntax highlighting, code saving, error highlighting, and a pseudocode compiler feature. The platform allows users to write and debug pseudocode efficiently, with the goal of creating algorithms quickly and easily. PseudoEditor is the first and only pseudocode online editor/IDE available for free, providing a smoother writing environment and faster coding experience.

Beatoven.ai is a royalty-free AI music generator that allows users to create unique, mood-based music for their videos, podcasts, and other content. The platform uses advanced AI music generation techniques to compose music that matches the desired mood and style. Users can choose from a variety of genres, emotions, and tempos, and can even input text to describe the type of music they want. Beatoven.ai is a great tool for content creators who need high-quality, royalty-free music for their projects.

ConquerortheCrown is an AI-powered mentor that provides guidance and support to users. It is designed to help users achieve their goals and live a more fulfilling life. ConquerortheCrown uses a variety of AI techniques to provide personalized advice and support to users. It can help users with a variety of tasks, including setting goals, making decisions, and overcoming challenges.

AskNow is a website that allows users to have audio conversations with AI-powered avatars. Users can choose from a variety of avatars, each with its own unique personality and expertise. AskNow can be used for a variety of purposes, including getting advice, learning new things, or simply having a conversation. The website is easy to use and the avatars are very realistic. AskNow is a great way to experience the power of AI and to have some fun at the same time.

Stickerble is an all-in-one AI sticker app that allows users to create custom beautiful AI stickers in just minutes. With over 23,500 free HD AI stickers available, users can transform their ideas into visually stunning stickers using the latest open source AI image generation models. The app enables users to create personalized face stickers from selfies, design custom emoji stickers, generate multiple variations of stickers, and transfer styles to create unique blends. Stickerble is designed to be user-friendly and expressive, catering to individuals looking to add a personal touch to their digital communication.

Deepnude AI Online is a free AI-powered image generator tool that allows users to enhance and undress images using advanced AI technology. The tool offers a seamless and secure experience for users to access powerful image enhancement features. With a user-friendly interface, Deepnude AI Online provides accurate and reliable results for both beginners and advanced users. Users can upload images, choose clothing styles, and let the AI technology work its magic to create professional and fun outcomes. The tool prioritizes privacy and security by ensuring all actions are secure and no data is stored on servers.

Renderforest is a comprehensive online platform that provides a suite of design and marketing tools to help businesses and individuals create stunning videos, websites, logos, mockups, presentations, graphics, and more. With Renderforest, users can access a vast library of professionally designed templates, animations, and stock footage to create high-quality content without the need for extensive design skills or experience. The platform offers a user-friendly interface, making it easy for anyone to create professional-looking designs in minutes. Renderforest also provides a range of advanced features, such as video editing, website hosting, and e-commerce integration, to help users maximize their marketing efforts.

Polaris establishes a novel, industry‑certified standard to foster the development of impactful methods in AI-based drug discovery. This library is a Python client to interact with the Polaris Hub. It allows you to download Polaris datasets and benchmarks, evaluate a custom method against a Polaris benchmark, and create and upload new datasets and benchmarks.

QANTA is a system and dataset for question answering tasks. It provides a script to download datasets, preprocesses questions, and matches them with Wikipedia pages. The system includes various datasets, training, dev, and test data in JSON and SQLite formats. Dependencies include Python 3.6, `click`, and NLTK models. Elastic Search 5.6 is needed for the Guesser component. Configuration is managed through environment variables and YAML files. QANTA supports multiple guesser implementations that can be enabled/disabled. Running QANTA involves using `cli.py` and Luigi pipelines. The system accesses raw Wikipedia dumps for data processing. The QANTA ID numbering scheme categorizes datasets based on events and competitions.

LLM-Finetune is a repository for fine-tuning language models for various NLP tasks such as text classification and named entity recognition. It provides instructions and scripts for training and inference using models like Qwen2-VL and GLM4. The repository also includes datasets for tasks like text classification, named entity recognition, and multimodal tasks. Users can easily prepare the environment, download datasets, train models, and perform inference using the provided scripts and notebooks. Additionally, the repository references SwanLab, an AI training record, analysis, and visualization tool.

AIGC_text_detector is a repository containing the official codes for the paper 'Multiscale Positive-Unlabeled Detection of AI-Generated Texts'. It includes detector models for both English and Chinese texts, along with stronger detectors developed with enhanced training strategies. The repository provides links to download the detector models, datasets, and necessary preprocessing tools. Users can train RoBERTa and BERT models on the HC3-English dataset using the provided scripts.

AiOS is a tool for human pose and shape estimation, performing human localization and SMPL-X estimation in a progressive manner. It consists of body localization, body refinement, and whole-body refinement stages. Users can download datasets for evaluation, SMPL-X body models, and AiOS checkpoint. Installation involves creating a conda virtual environment, installing PyTorch, torchvision, Pytorch3D, MMCV, and other dependencies. Inference requires placing the video for inference and pretrained models in specific directories. Test results are provided for NMVE, NMJE, MVE, and MPJPE on datasets like BEDLAM and AGORA. Users can run scripts for AGORA validation, AGORA test leaderboard, and BEDLAM leaderboard. The tool acknowledges codes from MMHuman3D, ED-Pose, and SMPLer-X.

The KAN-GPT repository is a PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling. It provides a model for generating text based on prompts, with a focus on improving performance compared to traditional MLP-GPT models. The repository includes scripts for training the model, downloading datasets, and evaluating model performance. Development tasks include integrating with other libraries, testing, and documentation.

OpenCompass is a one-stop platform for large model evaluation, aiming to provide a fair, open, and reproducible benchmark for large model evaluation. Its main features include: * Comprehensive support for models and datasets: Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 70+ datasets with about 400,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. * Efficient distributed evaluation: One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. * Diversified evaluation paradigms: Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue-type prompt templates, to easily stimulate the maximum performance of various models. * Modular design with high extensibility: Want to add new models or datasets, customize an advanced task division strategy, or even support a new cluster management system? Everything about OpenCompass can be easily expanded! * Experiment management and reporting mechanism: Use config files to fully record each experiment, and support real-time reporting of results.

The GFM-RAG is a graph foundation model-powered pipeline that combines graph neural networks to reason over knowledge graphs and retrieve relevant documents for question answering. It features a knowledge graph index, efficiency in multi-hop reasoning, generalizability to unseen datasets, transferability for fine-tuning, compatibility with agent-based frameworks, and interpretability of reasoning paths. The tool can be used for conducting retrieval and question answering tasks using pre-trained models or fine-tuning on custom datasets.

LLoCO is a technique that learns documents offline through context compression and in-domain parameter-efficient finetuning using LoRA, which enables LLMs to handle long context efficiently.

Groma is a grounded multimodal assistant that excels in region understanding and visual grounding. It can process user-defined region inputs and generate contextually grounded long-form responses. The tool presents a unique paradigm for multimodal large language models, focusing on visual tokenization for localization. Groma achieves state-of-the-art performance in referring expression comprehension benchmarks. The tool provides pretrained model weights and instructions for data preparation, training, inference, and evaluation. Users can customize training by starting from intermediate checkpoints. Groma is designed to handle tasks related to detection pretraining, alignment pretraining, instruction finetuning, instruction following, and more.

Time-LLM is a reprogramming framework that repurposes large language models (LLMs) for time series forecasting. It allows users to treat time series analysis as a 'language task' and effectively leverage pre-trained LLMs for forecasting. The framework involves reprogramming time series data into text representations and providing declarative prompts to guide the LLM reasoning process. Time-LLM supports various backbone models such as Llama-7B, GPT-2, and BERT, offering flexibility in model selection. The tool provides a general framework for repurposing language models for time series forecasting tasks.

PINNACLE is a flexible geometric deep learning approach that trains on contextualized protein interaction networks to generate context-aware protein representations. It provides protein representations split across various cell-type contexts from different tissues and organs. The tool can be fine-tuned to study the genomic effects of drugs and nominate promising protein targets and cell-type contexts for further investigation. PINNACLE exemplifies the paradigm of incorporating context-specific effects for studying biological systems, especially the impact of disease and therapeutics.

Fira is a memory-efficient training framework for Large Language Models (LLMs) that enables full-rank training under low-rank constraint. It introduces a method for training with full-rank gradients of full-rank weights, achieved with just two lines of equations. The framework includes pre-training and fine-tuning functionalities, packaged as a Python library for easy use. Fira utilizes Adam optimizer by default and provides options for weight decay. It supports pre-training LLaMA models on the C4 dataset and fine-tuning LLaMA-7B models on commonsense reasoning tasks.

LLMeBench is a flexible framework designed for accelerating benchmarking of Large Language Models (LLMs) in the field of Natural Language Processing (NLP). It supports evaluation of various NLP tasks using model providers like OpenAI, HuggingFace Inference API, and Petals. The framework is customizable for different NLP tasks, LLM models, and datasets across multiple languages. It features extensive caching capabilities, supports zero- and few-shot learning paradigms, and allows on-the-fly dataset download and caching. LLMeBench is open-source and continuously expanding to support new models accessible through APIs.

Q-Bench is a benchmark for general-purpose foundation models on low-level vision, focusing on multi-modality LLMs performance. It includes three realms for low-level vision: perception, description, and assessment. The benchmark datasets LLVisionQA and LLDescribe are collected for perception and description tasks, with open submission-based evaluation. An abstract evaluation code is provided for assessment using public datasets. The tool can be used with the datasets API for single images and image pairs, allowing for automatic download and usage. Various tasks and evaluations are available for testing MLLMs on low-level vision tasks.

PDEBench provides a diverse and comprehensive set of benchmarks for scientific machine learning, including challenging and realistic physical problems. The repository consists of code for generating datasets, uploading and downloading datasets, training and evaluating machine learning models as baselines. It features a wide range of PDEs, realistic and difficult problems, ready-to-use datasets with various conditions and parameters. PDEBench aims for extensibility and invites participation from the SciML community to improve and extend the benchmark.

This repository contains the code for the paper 'Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs'. It provides tools for fine-tuning and evaluating Llama models, converting models between different frameworks, processing datasets, and performing specific model training tasks like Partial-RoPE Fine-Tuning and Multiple-Head Latent Attention Fine-Tuning. The repository also includes commands for model evaluation using Lighteval and LongBench, along with necessary environment setup instructions.

The AiTLAS toolbox (Artificial Intelligence Toolbox for Earth Observation) includes state-of-the-art machine learning methods for exploratory and predictive analysis of satellite imagery as well as a repository of AI-ready Earth Observation (EO) datasets. It can be easily applied for a variety of Earth Observation tasks, such as land use and cover classification, crop type prediction, localization of specific objects (semantic segmentation), etc. The main goal of AiTLAS is to facilitate better usability and adoption of novel AI methods (and models) by EO experts, while offering easy access and standardized format of EO datasets to AI experts which allows benchmarking of various existing and novel AI methods tailored for EO data.

Tiny LLM zh is a project aimed at building a small-parameter Chinese language large model for quick entry into learning large model-related knowledge. The project implements a two-stage training process for large models and subsequent human alignment, including tokenization, pre-training, instruction fine-tuning, human alignment, evaluation, and deployment. It is deployed on ModeScope Tiny LLM website and features open access to all data and code, including pre-training data and tokenizer. The project trains a tokenizer using 10GB of Chinese encyclopedia text to build a Tiny LLM vocabulary. It supports training with Transformers deepspeed, multiple machine and card support, and Zero optimization techniques. The project has three main branches: llama2_torch, main tiny_llm, and tiny_llm_moe, each with specific modifications and features.

InfLLM is a training-free memory-based method that unveils the intrinsic ability of LLMs to process streaming long sequences. It stores distant contexts into additional memory units and employs an efficient mechanism to lookup token-relevant units for attention computation. Thereby, InfLLM allows LLMs to efficiently process long sequences while maintaining the ability to capture long-distance dependencies. Without any training, InfLLM enables LLMs pre-trained on sequences of a few thousand tokens to achieve superior performance than competitive baselines continually training these LLMs on long sequences. Even when the sequence length is scaled to 1, 024K, InfLLM still effectively captures long-distance dependencies.

Assists in downloading any video resource.

create professional consulting slide with preview on chatgpt and free download as pptx

Assists in finding music download platforms, prioritizes free options.

Download and Run Open Source LLMs Locally.

Download data from the internet. Fetch the content of sites and make it available to the session, given a URL.

I invert colors in photos and provide download links.

Your article formatting expert with Word download link feature.

I help you to explore the galaxy by answering astronomy questions with the Gaia Space Telescope. Ask a question, download .csv, upload .csv for plotting

Public Domain PDF Books Finder GPT offers an expansive library of PDFs for easy search and download. It now specializes in finding public domain books from trusted sources.

Efficiently converts wireframes to Tailwind HTML with code and download link.

Print individual (1) die cut stickers. I create custom stickers and guide you to download them. After downloading them, you can send them to Midwest Label and print out 1-100 individual labels.

Make custom Pokémon from camera. Download and battle them verses real ones! (beta)

Upload an image of an event poster, download the event as a .ICS file

Your go-to source for in-depth US zip code demographics and statistics, with easy-to-download data tables.

Approachable expert on FDA medical device regulation. Offering direct download links for related regulation and guidance documents from FDA sites.

I'm a search engine for jobs opportunities in the aerospace industry. DOWNLOAD YOUR CV or ENTER YOUR JOB TITLE / Je suis un moteur de recherche d'offres d'emploi, d'alternance, de stages dans le secteur de l'Aéronautique. TÉLÉCHARGER VOTRE CV ou SAISISSEZ LE TITRE DE VOTRE MÉTIER.

Create PowerPoint PPTX presentations with ChatGPT. Use prompts to directly create PowerPoint files. Supports any topic. Download as PPTX or PDF. Presentation GPT is the best GPT to create PowerPoint presentations.

A GPT that can create PDFs and DocX documents, worksheets, resumes, etc. for you to directly download. See example outputs on https://www.gpt2office.com/

Access free car repair manuals and auto repair manuals with our AI tool. Ideal for DIY car repair, use online car repair manuals and download car repair manuals. Discover the best car repair manuals for beginners and use car diagnostic tools. Buy car parts online and follow a car maintenance .

Welcome! I'm a voice-focused language teacher for interactive speaking practice. To enable voice, download the app and tap the headphone button next to my chat window. Then choose your preferred voice. When you're ready, tell me what language you'd like to learn. It's FREE!