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A comprehensive set of fairness metrics for datasets and machine learning models.
List of awesome compiler projects and papers for tensor computation and deep learning.
Track your datasets, code changes, experimentation history, and models.
Track, log, visualize and evaluate your LLM prompts and prompt chains.
A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Train and run a computer vision model with 5-10 lines of code.
E-commerce skills for AI agents — product research, marketing automation, supply chain optimization, and business analytics for online sellers across Amazon, Shopify, Etsy, TikTok Shop, and all platforms.
Face recognition library that recognizes and manipulates faces from Python or from the command line.
FastEdit aims to assist developers with injecting fresh and customized knowledge into large language models efficiently using one single command.
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
AI code reviewer for GitHub Actions or local use, compatible with any LLM and integrated with Jira/Linear.
Package for computer vision using OpenCV 4 and beyond.
GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
Run LLM backends, APIs, frontends, and services with one command.
"building applications with LLMs through composability".