Trending Projects

An AI-powered platform for building machine learning models from natural language prompts.

Comprehensive resources for developers working with Generative AI, including projects, use cases, and interview prep.

Python SDK for the Agent2Agent (A2A) Protocol, enabling AI-powered agent interactions.

A collection of Jupyter Notebooks for a Machine Learning course, focused on Python and AI/ML concepts.

Official repository for the Uni-Mol Series Methods, a deep learning-based molecular modeling library.

Meshroom is a node-based visual programming toolbox for 3D reconstruction and photogrammetry, targeting vibe coders who work with AI tools.

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Official implementation of a paper on VACE, a video creation and editing tool powered by AI.

A high-performance Transformer library for accelerating AI models on NVIDIA GPUs, including low-precision support.

An open-source tutorial that helps developers deploy large language models (LLMs) like Ollama on CPU for production use.

A free, straightforward roadmap to learn machine learning for developers.

Easy-to-use and powerful LLM and SLM library with awesome model zoo for natural language processing.

Modeling, training, evaluation, and inference code for OLMo, a large language model.

Laminar is an open-source observability platform purpose-built for AI agents and workflows.

A collection of summaries for machine learning research papers, useful for developers interested in AI and deep learning.

AI Manus is a general-purpose AI Agent system that supports running various tools and operations in a sandbox environment.

Official implementation of a CVPR'25 oral paper on motion-controllable video diffusion models using real-time warped noise.

A PyTorch template for deep learning projects with easy setup and organization.

A tutorial repository for learning PyTorch, covering computer vision, NLP, and deep learning model deployment.

A Go-based Discord bot proxy that provides AI-powered features like ChatGPT, text-to-image, and knowledge retrieval.

An AI-powered customer service tool that integrates with popular platforms like WeChat, Pinduoduo, and Douyin.

A collection of prompt patterns and strategies for designing AI-powered applications and tools.

This is a library for solving partial differential equations using neural networks.

A repository containing research papers on text summarization, focused on language models and NLP.

A comprehensive benchmark to evaluate large language models (LLMs) as agents for various tasks.

An open-source implementation for fine-tuning Qwen-VL series, a multimodal vision-language model by Alibaba Cloud.

An open-source toolkit for analyzing the internal workings of Transformer-based language models.

A multimodal dataset for emotion recognition in conversation, useful for building conversational AI and chatbots.

A PyTorch-based library for robust and high-quality blind face restoration using a codebook lookup transformer.

A GPU-accelerated NumPy & SciPy library for high-performance scientific computing

A powerful multi-object tracking library with modular SOTA tracking modules for segmentation, detection, and pose estimation.

A collection of cool Python features and tutorials for machine learning and data science.

Examples of using the MLX Swift library, a framework for building AI-powered applications in Swift.

A PyTorch-based library for consistent depth estimation in super-long videos using transformers.

A memory-efficient library for training large language models (LLMs) using gradient low-rank projection.

An Android application for super-resolution and image interpolation using popular AI models like RealSR, SRMD, and Waifu2x.

A Python library that boosts cost efficiency, inference accuracy, and cross-domain adaptability for complex QA systems.

Real-time audio analysis in Python, with visualizations and FFT feature extraction from streaming audio.

A simple, extensible LLM client for Emacs that allows developers to interact with large language models like ChatGPT.

Pytorch implementations of various Deep NLP models used in the Stanford NLP course cs-224n

A library for building recommender system models using TensorFlow for AI-powered application development.

GoMLX is an accelerated machine learning framework for Go, enabling high-performance AI/ML development.

A real-time text-to-speech model that can stream conversational audio in real-time.

An open-source Python library that helps curate better data for large language models (LLMs).

DepthAI is a high-performance, low-power embedded AI vision library for building computer vision and spatial AI applications.

A collection of papers and code related to 3D computer vision, including SLAM, localization, and more.

Machine learning and deep learning models for stock forecasting, including trading bots and simulations.

Positron is a next-generation data science IDE that provides a comprehensive set of tools and features for vibe coders.

Provides Jupyter Notebook examples to help developers get hands-on with Pinecone vector databases.

This is a repository for the code used in the Stanford CS224u course, focused on natural language processing.