AI tools for pascal
Related Tools:
Pascal
Pascal is an AI-powered risk-based KYC & AML screening and monitoring platform that enables users to assess findings faster and more accurately than traditional compliance tools. It leverages AI, machine learning, and Natural Language Processing to analyze open-source and client-specific data, providing insights to identify and assess risks. Pascal simplifies onboarding processes, offers continuous monitoring, reduces false positives, and facilitates better decision-making. The platform features an intuitive interface, supports collaboration, and ensures transparency through comprehensive audit trails. Pascal is a secure solution with ISAE 3402-II certification, exceeding industry standards in protecting organizations.
IRREPLACEABLE
IRREPLACEABLE is an AI application that offers a groundbreaking framework for thriving in the age of intelligent machines. It provides insights on living in harmony with AI, building the Three Competencies of the Future, and cultivating uniquely human qualities. The application aims to help individuals, parents, professionals, and leaders navigate the challenges posed by artificial intelligence and automation.
AI Code Translator
AI Code Translator is an online tool that allows users to translate code or natural language into multiple programming languages. It is powered by artificial intelligence (AI) and provides intelligent and efficient code translation. With AI Code Translator, developers can save time and effort by quickly converting code between different languages, optimizing their development process.
Room Reinvented
Room Reinvented is an AI-powered interior design tool that allows users to transform their living spaces with ease. With features like Restyle Your Room, Virtual Staging, Sketch, Object Removal Tool, AI-Generated Style Rooms, and Custom Prompts, Room Reinvented empowers users to visualize their dream space before making any real-life changes. The tool offers a wide range of interior design styles, color palettes, and furniture options to choose from, making it perfect for homeowners, renters, real estate agents, property managers, home sellers, artists, design students, and anyone looking to enhance their living space.
TinyLLM
TinyLLM is a project that helps build a small locally hosted language model with a web interface using consumer-grade hardware. It supports multiple language models, builds a local OpenAI API web service, and serves a Chatbot web interface with customizable prompts. The project requires specific hardware and software configurations for optimal performance. Users can run a local language model using inference servers like vLLM, llama-cpp-python, and Ollama. The Chatbot feature allows users to interact with the language model through a web-based interface, supporting features like summarizing websites, displaying news headlines, stock prices, weather conditions, and using vector databases for queries.
AlphaFold3
AlphaFold3 is an implementation of the Alpha Fold 3 model in PyTorch for accurate structure prediction of biomolecular interactions. It includes modules for genetic diffusion and full model examples for forward pass computations. The tool allows users to generate random pair and single representations, operate on atomic coordinates, and perform structure predictions based on input tensors. The implementation also provides functionalities for training and evaluating the model.
cake
cake is a pure Rust implementation of the llama3 LLM distributed inference based on Candle. The project aims to enable running large models on consumer hardware clusters of iOS, macOS, Linux, and Windows devices by sharding transformer blocks. It allows running inferences on models that wouldn't fit in a single device's GPU memory by batching contiguous transformer blocks on the same worker to minimize latency. The tool provides a way to optimize memory and disk space by splitting the model into smaller bundles for workers, ensuring they only have the necessary data. cake supports various OS, architectures, and accelerations, with different statuses for each configuration.
DeepPavlov
DeepPavlov is an open-source conversational AI library built on PyTorch. It is designed for the development of production-ready chatbots and complex conversational systems, as well as for research in the area of NLP and dialog systems. The library offers a wide range of models for tasks such as Named Entity Recognition, Intent/Sentence Classification, Question Answering, Sentence Similarity/Ranking, Syntactic Parsing, and more. DeepPavlov also provides embeddings like BERT, ELMo, and FastText for various languages, along with AutoML capabilities and integrations with REST API, Socket API, and Amazon AWS.
aphrodite-engine
Aphrodite is the official backend engine for PygmalionAI, serving as the inference endpoint for the website. It allows serving Hugging Face-compatible models with fast speeds. Features include continuous batching, efficient K/V management, optimized CUDA kernels, quantization support, distributed inference, and 8-bit KV Cache. The engine requires Linux OS and Python 3.8 to 3.12, with CUDA >= 11 for build requirements. It supports various GPUs, CPUs, TPUs, and Inferentia. Users can limit GPU memory utilization and access full commands via CLI.
aiograpi
aiograpi is an asynchronous Instagram API wrapper for Python that allows users to interact with various Instagram functionalities such as retrieving public data of users, posts, stories, followers, and following users, managing proxy servers and challenge resolver, login by different methods, managing messages and threads, downloading and uploading various types of content, working with insights, likes, comments, and more. It is designed for testing or research purposes rather than production business use.
Delphi-AI-Developer
Delphi AI Developer is a plugin that enhances the Delphi IDE with AI capabilities from OpenAI, Gemini, and Groq APIs. It assists in code generation, refactoring, and speeding up development by providing code suggestions and predefined questions. Users can interact with AI chat and databases within the IDE, customize settings, and access documentation. The plugin is open-source and under the MIT License.
ai-renamer
ai-renamer is a Node.js CLI tool that intelligently renames files in a specified directory using Ollama models like Llama, Gemma, Phi, etc. It allows users to set case style, model, maximum characters in the filename, and output language. The tool utilizes the change-case library for case styling and requires Ollama and at least one LLM to be installed on the system. Users can contribute by opening new issues or making pull requests. Licensed under GPL-3.0.
supervisely
Supervisely is a computer vision platform that provides a range of tools and services for developing and deploying computer vision solutions. It includes a data labeling platform, a model training platform, and a marketplace for computer vision apps. Supervisely is used by a variety of organizations, including Fortune 500 companies, research institutions, and government agencies.
awesome-RLAIF
Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.
Awesome-Segment-Anything
Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.
obsidian-arcana
Arcana is a plugin for Obsidian that offers a collection of AI-powered tools inspired by famous historical figures to enhance creativity and productivity. It includes tools for conversation, text-to-speech transcription, speech-to-text replies, metadata markup, text generation, file moving, flashcard generation, auto tagging, and note naming. Users can interact with these tools using the command palette and sidebar views, with an OpenAI API key required for usage. The plugin aims to assist users in various note-taking and knowledge management tasks within the Obsidian vault environment.
ansible-power-aix
The IBM Power Systems AIX Collection provides modules to manage configurations and deployments of Power AIX systems, enabling workloads on Power platforms as part of an enterprise automation strategy through the Ansible ecosystem. It includes example best practices, requirements for AIX versions, Ansible, and Python, along with resources for documentation and contribution.
awesome-open-ended
A curated list of open-ended learning AI resources focusing on algorithms that invent new and complex tasks endlessly, inspired by human advancements. The repository includes papers, safety considerations, surveys, perspectives, and blog posts related to open-ended AI research.
Noema-Declarative-AI
Noema is a framework that enables developers to control a language model and choose the path it will follow. It integrates Python with llm's generations, allowing users to use LLM as a thought interpreter rather than a source of truth. Noema is built on llama.cpp and guidance's shoulders. It applies the declarative programming paradigm to a language model, providing a way to represent functions, descriptions, and transformations. Users can create subjects, think about tasks, and generate content through generators, selectors, and code generators. Noema supports ReAct prompting, visualization, and semantic Python functionalities, offering a versatile tool for automating tasks and guiding language models.