Best AI tools for< Plot Activation Distribution >

AIreelity is a cloud-based artificial intelligence (AI)-powered video creation platform that enables users to create professional-quality videos without any prior video editing experience. With AIreelity, users can create videos from text, images, and videos, and add music, effects, and transitions to create engaging and informative videos.

Fable Fiesta is an AI-powered writing assistant that helps writers and creators overcome writer's block and unleash their creativity. With its AI story generator, dynamic world and character generator, and intelligent AI plot generator, Fable Fiesta provides the tools to create compelling narratives, thrilling adventures, seductive love stories, and more. Whether you're an author, a screenwriter, or a creative enthusiast, Fable Fiesta can help you write your next bestseller.

Bibit AI is a real estate marketing AI designed to enhance the efficiency and effectiveness of real estate marketing and sales. It can help create listings, descriptions, and property content, and offers a host of other features. Bibit AI is the world's first AI for Real Estate. We are transforming the real estate industry by boosting efficiency and simplifying tasks like listing creation and content generation.

Makefilm.ai is an AI-powered platform that transforms YouTube videos into TikTok and Shorts effortlessly. It offers a range of features such as automatic generation of captions in multiple languages, customizable editing tools, real-time speech captioning, and dynamic effects. The platform aims to make video creation engaging, accessible, and professional for video creators, businesses, educators, and marketers. With Makefilm.ai, users can enhance video accessibility, reach a wider audience, and create high-quality videos with ease.

ScriptRank is an AI-powered developmental editing tool that provides authors with in-depth feedback on their manuscripts. It analyzes plot, character, genre, and theme, and provides actionable insights to help authors improve their writing. ScriptRank is designed to be a fast, affordable, and reliable way for authors to get feedback on their work.

Story Path is an AI-powered book planning and writer's block cure app. It helps writers plan their stories, generate fresh ideas, and overcome writer's block. With Story Path, writers can input a brief description of their story and the app will generate branching options for the plot. Writers can then expand and explore their favorite paths and customize the details to their liking. Story Path is a valuable tool for writers of all levels, from beginners to published authors.

Tiny Pockkets is an AI-powered tool that allows users to create personalized and unforgettable stories. The tool leverages artificial intelligence to assist users in crafting engaging narratives, making storytelling more accessible and enjoyable. With Tiny Pockkets, users can easily generate unique and creative storylines, enhancing their storytelling experience.

StoryLegend is an AI-powered story writing dashboard that helps writers create compelling stories by providing tools for character development, plot analysis, and real-time writing assistance. The platform offers features such as AI writing assistant, story structure guide, quick draft generation, writing analysis, and character development. Writers can easily collaborate, track progress, and unleash their creativity with the help of AI technology. StoryLegend aims to streamline the writing process and enhance storytelling capabilities for authors and content creators.

Verb is a writing tool that uses artificial intelligence to help writers craft better content. It offers a variety of features, including a distraction-free interface, natural language processing, and real-time feedback. Verb is designed to be a collaborative tool that can help writers overcome writer's block and produce higher-quality work.

Subtxt with Muse is an AI-powered storytelling tool that provides expert advice and guidance to writers. It uses advanced natural language processing and machine learning algorithms to analyze your writing and offer actionable suggestions for improvement. Subtxt with Muse can help you develop complete, compelling narratives that captivate your audience from start to finish. It is designed to assist writers of all levels, from beginners to experienced professionals. With Subtxt with Muse, you can upload your draft, screenplay, or story idea and receive instant feedback and guidance. The AI will analyze your work and provide you with a detailed report that includes an assessment of your story's structure, character development, pacing, and more. Subtxt with Muse can also help you generate new ideas, explore different narrative possibilities, and overcome writer's block. It is an invaluable tool for any writer who wants to improve their craft and create stories that resonate with readers.

AIStoryBuilders is a writing assistant tool that uses artificial intelligence to help writers overcome writer's block and generate new ideas. It offers a variety of features to help writers with different aspects of the writing process, including story generation, character development, and plot outlining. AIStoryBuilders is available as a web-based application and a desktop application for Windows.

Novels AI is an innovative AI-powered application that allows users to create personalized AI-generated stories where they are the hero. Users can customize characters, settings, and more to craft immersive audiobooks across various genres. The app leverages artificial intelligence to provide high-quality, realistic narration and endless storytelling options, offering a unique and engaging experience for users looking to explore the future of audiobooks.

AI Screenwriter is an AI-powered screenwriting tool designed to assist users in writing film scripts, story outlines, and character sheets. It offers advanced technology to help users brainstorm, structure, and write their stories efficiently. The tool provides valuable insights and suggestions from AI to enhance the creative process and overcome writer's block. AI Screenwriter supports multiple languages and offers real-time output to bring ideas to life on the screen.

functime is a time-series machine learning tool designed for scalable analysis. It offers a comprehensive set of functions for forecasting, evaluation, and analysis of time-series data. With features like scoring, ranking, and plotting functions, functime simplifies the process of evaluating thousands of forecasts simultaneously. It serves as an AI copilot to help analysts analyze and compare trends, seasonality, and causal factors in forecasts. The tool also provides detailed API reference for seamless integration into existing workflows.

Koolio.ai is an AI-powered storytelling platform that helps you create engaging and personalized stories. With Koolio.ai, you can easily generate story ideas, develop characters, and write compelling narratives. Whether you're a professional writer, a student, or just someone who loves to tell stories, Koolio.ai can help you take your storytelling to the next level.

Screenwriting.AI is an AI-powered platform designed to assist screenwriters in crafting captivating stories, authentic dialogue, and well-developed characters. It provides a range of tools and features to streamline the screenwriting process, including script templates, plot guidance, and AI-assisted editing. The platform aims to empower screenwriters to overcome writer's block, enhance their writing skills, and produce polished screenplays that meet industry standards.

DreamGen is an AI role-play and story generator platform that allows users to interact with AI characters, create immersive scenarios, and craft unique stories across various genres. Users can define the world, steer the plot, and let the AI bring their imagination to life. With a sleek chat-like interface, DreamGen offers a creative space where users can engage with multiple characters, explore fantasy realms, and unleash their storytelling potential. The platform provides a generous free tier with no strings attached, making it accessible for users to dive into immersive worlds and narratives.

AI Game Master is an AI-powered text adventure application that allows users to craft their own fantasy stories through interactive gameplay. Players can choose their plot, engage in text-based combat, and shape the narrative with their decisions. The application features a unique free text combat system, a token system for interactions with the AI, and the ability to create custom characters. With AI Game Master, users can immerse themselves in a world of magic and mystery, where their words forge worlds and adventures.

Picterra is a geospatial AI platform that offers reliable solutions for sustainability, compliance, monitoring, and verification. It provides an all-in-one plot monitoring system, professional services, and interactive tours. Users can build custom AI models to detect objects, changes, or patterns using various geospatial imagery data. Picterra aims to revolutionize geospatial analysis with its category-leading AI technology, enabling users to solve challenges swiftly, collaborate more effectively, and scale further.

The website is an AI tool that offers a wide range of generators for various creative purposes, such as roleplay, story, image, anime, human, photo, character description, text adventure, poem, lyrics, meme, fanfic, story outline, plot, text rewriting, insult, coding help, code, group chat, and rap lyrics. Users can easily generate content using AI technology to enhance their creativity and productivity.

PrefixQuant is an official PyTorch implementation for static quantization that outperforms dynamic quantization in Large Language Models (LLMs) by utilizing prefixed outliers. The tool provides functionalities for quantization, inference, and visualization of activation distributions. Users can fine-tune quantization settings and evaluate pre-quantized models for tasks like PIQA, ARC, Hellaswag, and Winogrande. The approach aims to improve performance and efficiency in LLMs through innovative quantization techniques.

The 'create-million-parameter-llm-from-scratch' repository provides a detailed guide on creating a Large Language Model (LLM) with 2.3 million parameters from scratch. The blog replicates the LLaMA approach, incorporating concepts like RMSNorm for pre-normalization, SwiGLU activation function, and Rotary Embeddings. The model is trained on a basic dataset to demonstrate the ease of creating a million-parameter LLM without the need for a high-end GPU.

Meta Lingua is a minimal and fast LLM training and inference library designed for research. It uses easy-to-modify PyTorch components to experiment with new architectures, losses, and data. The codebase enables end-to-end training, inference, and evaluation, providing tools for speed and stability analysis. The repository contains essential components in the 'lingua' folder and scripts that combine these components in the 'apps' folder. Researchers can modify the provided templates to suit their experiments easily. Meta Lingua aims to lower the barrier to entry for LLM research by offering a lightweight and focused codebase.

Kafka-ML is a framework designed to manage the pipeline of Tensorflow/Keras and PyTorch machine learning models on Kubernetes. It enables the design, training, and inference of ML models with datasets fed through Apache Kafka, connecting them directly to data streams like those from IoT devices. The Web UI allows easy definition of ML models without external libraries, catering to both experts and non-experts in ML/AI.

imodelsX is a Scikit-learn friendly library that provides tools for explaining, predicting, and steering text models/data. It also includes a collection of utilities for getting started with text data. **Explainable modeling/steering** | Model | Reference | Output | Description | |---|---|---|---| | Tree-Prompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/tree_prompt) | Explanation + Steering | Generates a tree of prompts to steer an LLM (_Official_) | | iPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/iprompt) | Explanation + Steering | Generates a prompt that explains patterns in data (_Official_) | | AutoPrompt | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/autoprompt) | Explanation + Steering | Find a natural-language prompt using input-gradients (⌛ In progress)| | D3 | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/d3) | Explanation | Explain the difference between two distributions | | SASC | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/sasc) | Explanation | Explain a black-box text module using an LLM (_Official_) | | Aug-Linear | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_linear) | Linear model | Fit better linear model using an LLM to extract embeddings (_Official_) | | Aug-Tree | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/aug_tree) | Decision tree | Fit better decision tree using an LLM to expand features (_Official_) | **General utilities** | Model | Reference | |---|---| | LLM wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/llm) | Easily call different LLMs | | | Dataset wrapper| [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/data) | Download minimially processed huggingface datasets | | | Bag of Ngrams | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/bag_of_ngrams) | Learn a linear model of ngrams | | | Linear Finetune | [Reference](https://github.com/microsoft/AugML/tree/main/imodelsX/linear_finetune) | Finetune a single linear layer on top of LLM embeddings | | **Related work** * [imodels package](https://github.com/microsoft/interpretml/tree/main/imodels) (JOSS 2021) - interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible). * [Adaptive wavelet distillation](https://arxiv.org/abs/2111.06185) (NeurIPS 2021) - distilling a neural network into a concise wavelet model * [Transformation importance](https://arxiv.org/abs/1912.04938) (ICLR 2020 workshop) - using simple reparameterizations, allows for calculating disentangled importances to transformations of the input (e.g. assigning importances to different frequencies) * [Hierarchical interpretations](https://arxiv.org/abs/1807.03343) (ICLR 2019) - extends CD to CNNs / arbitrary DNNs, and aggregates explanations into a hierarchy * [Interpretation regularization](https://arxiv.org/abs/2006.14340) (ICML 2020) - penalizes CD / ACD scores during training to make models generalize better * [PDR interpretability framework](https://www.pnas.org/doi/10.1073/pnas.1814225116) (PNAS 2019) - an overarching framewwork for guiding and framing interpretable machine learning

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

The Beta Machine Learning Toolkit is a package containing various algorithms and utilities for implementing machine learning workflows in multiple languages, including Julia, Python, and R. It offers a range of supervised and unsupervised models, data transformers, and assessment tools. The models are implemented entirely in Julia and are not wrappers for third-party models. Users can easily contribute new models or request implementations. The focus is on user-friendliness rather than computational efficiency, making it suitable for educational and research purposes.

Weights & Biases (W&B) is a platform that helps users build better machine learning models faster by tracking and visualizing all components of the machine learning pipeline, from datasets to production models. It offers tools for tracking, debugging, evaluating, and monitoring machine learning applications. W&B provides integrations with popular frameworks like PyTorch, TensorFlow/Keras, Hugging Face Transformers, PyTorch Lightning, XGBoost, and Sci-Kit Learn. Users can easily log metrics, visualize performance, and compare experiments using W&B. The platform also supports hosting options in the cloud or on private infrastructure, making it versatile for various deployment needs.

PyCM is a Python library for multi-class confusion matrices, providing support for input data vectors and direct matrices. It is a comprehensive tool for post-classification model evaluation, offering a wide range of metrics for predictive models and accurate evaluation of various classifiers. PyCM is designed for data scientists who require diverse metrics for their models.

LLM training in simple, pure C/CUDA. There is no need for 245MB of PyTorch or 107MB of cPython. For example, training GPT-2 (CPU, fp32) is ~1,000 lines of clean code in a single file. It compiles and runs instantly, and exactly matches the PyTorch reference implementation. I chose GPT-2 as the first working example because it is the grand-daddy of LLMs, the first time the modern stack was put together.

moai is a PyTorch-based AI Model Development Kit (MDK) designed to improve data-driven model workflows, design, and understanding. It offers modularity via monads for model building blocks, reproducibility via configuration-based design, productivity via a data-driven domain modelling language (DML), extensibility via plugins, and understanding via inter-model performance and design aggregation. The tool provides specific integrated actions like play, train, evaluate, plot, diff, and reprod to support heavy data-driven workflows with analytics, knowledge extraction, and reproduction. moai relies on PyTorch, Lightning, Hydra, TorchServe, ONNX, Visdom, HiPlot, Kornia, Albumentations, and the wider open-source community for its functionalities.

AIW is a code base for experiments and raw data related to Alice in Wonderland, showcasing complete reasoning breakdown in state-of-the-art large language models. Users can collect experiments data using LiteLLM and TogetherAI, and plot the data using provided scripts. The tool allows for executing experiments over LiteLLM and lmsys, with options for different prompt types and AIW variations. The project also includes acknowledgments and a citation for reference.

AirspeedVelocity.jl is a tool designed to simplify benchmarking of Julia packages over their lifetime. It provides a CLI to generate benchmarks, compare commits/tags/branches, plot benchmarks, and run benchmark comparisons for every submitted PR as a GitHub action. The tool freezes the benchmark script at a specific revision to prevent old history from affecting benchmarks. Users can configure options using CLI flags and visualize benchmark results. AirspeedVelocity.jl can be used to benchmark any Julia package and offers features like generating tables and plots of benchmark results. It also supports custom benchmarks and can be integrated into GitHub actions for automated benchmarking of PRs.

Go-stock is a tool for analyzing stock market data using the Go programming language. It provides functionalities for fetching stock data, performing technical analysis, and visualizing trends. With Go-stock, users can easily retrieve historical stock prices, calculate moving averages, and plot candlestick charts. This tool is designed to help investors and traders make informed decisions based on data-driven insights.

The LLM Creative Story-Writing Benchmark evaluates large language models based on their ability to incorporate a set of 10 mandatory story elements in a short narrative. It measures constraint satisfaction and literary quality by grading models on character development, plot structure, atmosphere, storytelling impact, authenticity, and execution. The benchmark aims to assess how well models can adapt to rigid requirements, remain original, and produce cohesive stories using all assigned elements.

AI_NovelGenerator is a versatile novel generation tool based on large language models. It features a novel setting workshop for world-building, character development, and plot blueprinting, intelligent chapter generation for coherent storytelling, a status tracking system for character arcs and foreshadowing management, a semantic retrieval engine for maintaining long-range context consistency, integration with knowledge bases for local document references, an automatic proofreading mechanism for detecting plot contradictions and logic conflicts, and a visual workspace for GUI operations encompassing configuration, generation, and proofreading. The tool aims to assist users in efficiently creating logically rigorous and thematically consistent long-form stories.

A creative muse for novel plots.

Start with a genre and I'll help you develop a rough story outline. You can handle the rest

Expert in guiding users to develop compelling manga plots.

Export comparison data from GSC to get a scatter plot of keyword rankings before and after an update.

Assists with in-depth manuscript refinement, including plot and character analysis

Your TV/Film Companion. Keep track of plot developments and character arcs in your favourite TV shows and films, spoiler-free.

Synopsis for fiction work - Plot Points and Stylistic Elements

Provide a hand-drawing or screenshot of your desired plot along with the data and I'll make the plot.

A creative writing assistant offering character, plot, and dialogue suggestions.

I create RPG scenes with rich details and offer DALL-E images, NPC descriptions, and plot ideas.

Aids in writing narratives and descriptions in Hemingway's style. Give me the plot, idea or upload the image

A ghostwriter for books, aiding in concept development, plot and character creation, and chapter writing.

I am packed with every Bitcoin price from 2014-2023. I quickly analyze Bitcoin data to help you make smart investment decisions, plot trends, and find interesting correlations! *Warning: This is not financial advice.

TheatreThinkerAI, These tools include Storyline Generation, World-Building, Chapter Division, Dialogue Crafting, Conflict Generation, Resolution, Style Mimicry, Revision, Scriptwriting, Character Creation, Plot Generator, Improvisation, ete..

🔍🚪🎲 Your Multilingual Guide to Crafting Intriguing Mystery Escape Room Adventures! Design plots, puzzles, and immersive settings with expertise. 🔑💂‍♂️🔢

This assistant will take the persona of any book you want. It will respond to you as though it IS the book.

A storyteller and writer with creative and unique content for each story

A friendly helper for refining existing stories, maintaining the original tone.

Guiding novelists from idea to final draft with motivation and structure.

A cinematic ideation assistant for story-tellers