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Published directory entries matching your search.
Ghostwriter is a Replit feature that adds machine-learning tools to the integrated development environment. It offers an ML-powered pair programmer that completes code in realtime, tools to generate, transform and explain code, and an in-editor search utility for finding and importing open-source code. Its flagship feature, Complete Code, was in closed beta at the time of the announcement.
Open-source coding assistant using language models and vector embeddings to search, retrieve, explore and understand codebases. It works with local code and multiple programming languages; code snippets are only transmitted when a question is asked. Installation is via pip, and it defaults to the gpt-3.5-turbo-16k model.
Awesome AI Web Search is a GitHub repository or organization with source code, releases, documentation, or project resources.
GritQL is a declarative query language from Grit for searching and modifying source code. It lets users search with code snippets and metavariables, define custom lints, and apply auto-fix rules, and it supports rewriting JavaScript/TypeScript, Python, JSON, Java, Terraform, Solidity, CSS, Markdown, YAML, Rust, Go and SQL.
Guild AI is the source repository for an open source toolkit that automates and optimizes machine learning experiments. It runs unmodified training scripts, captures each run result as a unique experiment, and automates trials using grid search, random search and Bayesian optimization.
Awadb is an AI-native database built for working with embedding vectors. It is available as a public open-source repository on GitHub, where users can access the code, contribute to development, or deploy it locally on Mac OSX or Linux, or run it as a standalone service. The project is designed to support AI applications that rely on vector embedding functionality.
Onyx is an open-source AI platform that connects to applications to index and surface knowledge, with self-hosted deployment options. It provides agentic RAG search, deep research reports, custom agents, web search, a secure sandbox for code execution, artifacts, and voice mode. It works with major LLMs.
Artificial Intelligence: A Modern Approach is the official companion site for the 4th US edition of the AI textbook of the same name, authored by Stuart Russell and Peter Norvig. The textbook is the most widely used AI textbook, adopted by over 1500 schools. The site provides supporting resources including the book's table of contents, code, course materials, exercises, figures, and errata.
AuditZap is a website audit tool that performs SEO, performance, and AI search visibility (AEO/GEO) checks on user-submitted websites. It generates AI-powered fix instructions prioritized by estimated revenue impact, with platform-specific guidance for systems including WordPress, Shopify, and Webflow. The service offers 3 free audits per month with no credit card required, with paid plans available for expanded features.
autoai is an open-source Python framework for automatic artificial intelligence focused on regression and classification tasks over numerical data. It automates model search, hyper-parameter tuning, and generates high-quality Jupyter Notebook code for resulting models.
Awesome Decision Tree Papers is a GitHub-hosted open repository that collects research papers on decision trees, classification trees, and regression trees. The repository includes associated code implementations for the papers, and organizes content by publication year, with entries covering 2020, 2021, and 2022. It serves as a resource for machine learning researchers and practitioners.
Effective Python: 125 Specific Ways to Write Better Python, 3rd Edition is a book by Brett Slatkin, published by Pearson Addison-Wesley in November 2024. It expands on the second edition from 90 to 125 best practices for writing Python code, adds new chapters on robustness and performance, and covers the language through Python version 3.13.
ImageBind is a PyTorch implementation with pretrained models from FAIR, Meta AI. It learns a joint embedding across six modalities: images, text, audio, depth, thermal, and IMU data. The release includes code and model weights under the CC-BY-NC 4.0 license.
MLX is an array framework developed for use on Apple silicon hardware. The project includes example code, quickstart guides, installation instructions, and contribution guidelines. It is hosted as an open source repository on GitHub.
Optuna is an open source automatic hyperparameter optimization software framework designed for machine learning. It provides an imperative, define-by-run style user API with eager search spaces, algorithms that prune unpromising trials, and parallelization of searches over multiple threads or processes without modifying code. It is framework agnostic and can be installed with pip on Python 3.10 or newer.
An illustrated explainer article on VQGAN, describing how the model generates images from text at a conceptual level and how VQGAN and CLIP work in tandem. It covers a theory of perception, using transformers to model interactions, expressing images through a codebook, and training the GAN and transformer.
