Trending Projects

A fast BPE tokenizer for use with OpenAI's language models in Python.

Repository of code samples for the book 'Neural Networks and Deep Learning' focused on machine learning.

PyTorch implementations of Generative Adversarial Networks for AI and machine learning research.

A set of Jupyter Notebooks that combine Grounding DINO, Segment Anything, and Stable Diffusion for automatic detection, segmentation, and generation of anything in images.

A collection of various deep learning architectures, models, and tips for AI and machine learning developers.

Mamba is a Python library that provides a state-space modeling architecture for building AI agents and applications.

Materials for learning PyTorch, a deep learning framework, from zero to mastery.

Lightning fast neural graphics primitives for real-time 3D reconstruction, rendering, and more.

An open-source machine learning engineering reference with resources for training, deploying, and scaling AI models.

A comprehensive collection of deep learning tutorials, articles, and resources for developers.

A developer-focused open-source framework for building and managing autonomous AI agents.

An autonomous agent for deep financial research using TypeScript

A curated collection of the latest machine learning and AI courses on YouTube for developers.

An open-source tool for recording screens and microphones, designed for developers building with AI tools.

A TypeScript library for building context-aware reasoning applications using large language models.

A library of deep learning models and datasets to make deep learning more accessible and accelerate ML research.

An open-source personal assistant that provides AI-powered voice and text interactions.

A curated list of free ChatGPT mirror sites for developers to access the popular AI language model.

Sealos is an AI-native Cloud Operating System that unifies the entire application lifecycle for building and scaling modern AI applications.

Toolkit for linearizing PDFs to create LLM datasets/training

A collection of figures and templates for improving scientific writing with machine learning.

A TypeScript library that allows developers to enhance the capabilities of the Claude AI language model.

A comprehensive collection of must-read papers on graph neural networks (GNN) for developers.

Code for machine learning-based algorithmic trading strategies and workflows.

A flexible framework for optimizing heterogeneous LLM inference and fine-tuning workflows.

High-quality implementations of reinforcement learning algorithms for AI and machine learning research.

FramePack is a Python library that makes video diffusion more practical, allowing developers to create AI-powered video editing tools.

A neural network that transforms design mockups into static websites, for developers building with AI tools.

An AI-powered quantitative investment research platform for algorithmic trading and backtesting.

A comprehensive list of PyTorch-related content on GitHub, including models, libraries, and tutorials.

One-stop solution for creating your digital avatar from chat history and fine-tuning LLMs to capture your unique style

A tutorial on deep learning by renowned professor Li Hongy, covering a wide range of AI and machine learning topics.

An AI-powered PDF chatbot agent built with LangChain and LangGraph for vibe coders.

An advanced natural language processing (NLP) library for topic modeling, text analysis, and word embeddings in Python.

Open-source quantitative trading system for stocks, options, futures, and Bitcoin, built with machine learning.

A Python library that translates videos from one language to another, with support for dubbing and subtitles.

Simple and ready-to-use tutorials for the TensorFlow deep learning framework.

Concurrent chat with multiple AI language models like ChatGPT, Bing Chat, Bard, and more to discover the best answers.

A comprehensive machine learning library in Python with implementations of various algorithms and models.

A deep learning model that converts images of mathematical equations into LaTeX code.

An LLM-driven stock analysis platform with real-time data, news, and decision-making dashboards.

Powerful AI-powered tool for upscaling, enlarging, and interpolating video, image, and GIF content.

CAMEL is a multi-agent framework for exploring the scaling law of artificial intelligence agents.

A Jupyter Notebook library for building Kolmogorov Arnold Networks, a type of neural network.

A Python SDK for agent AI observability, monitoring, and evaluation with features like tracing, debugging, and analytics.

Fully automated AI video subtitle team with one-click subtitle cutting, translation, alignment, and dubbing.

Stable Diffusion WebUI Colab notebook for running AI-powered image generation on Google Colab

A collection of AI-powered side hustles and tutorials to help developers earn extra income.

Qwen3-Coder is a large language model series developed by the Qwen team at Alibaba Cloud for AI-powered coding tools and applications.

A comprehensive book on the foundations of Large Language Models (LLMs) for developers.