Trending Projects

The I-JEPA codebase provides a self-supervised learning architecture for joint image-text embedding.

Waymo Open Dataset is a large-scale dataset for autonomous driving research and development.

A TypeScript-powered web app that brings ML-powered speech recognition to the browser using the Whisper AI model.

HippoRAG is a novel RAG framework that enables LLMs to continuously integrate knowledge across external documents.

An index of algorithms for learning causality with data, useful for vibe coders working on AI-powered applications.

A convertor/conversion tool for deep learning models across various deep learning frameworks/software.

A curated list of language modeling research for code and software engineering activities.

A PyTorch implementation of the Wasserstein GAN (WGAN) algorithm for generative adversarial networks.

A library for training multilingual word embeddings, useful for NLP tasks across languages.

Demystify AI agents by building them yourself with no black boxes, real understanding of function calling, memory, and ReAct patterns.

A Python package to analyze and compare voice data using deep learning techniques

AIDungeon is an open-source AI-powered interactive fiction and text adventure platform.

This repository provides a Chinese localization extension for the stable-diffusion-webui, an AI image generation tool.

Effortless AI-assisted data labeling with support from YOLO, Segment Anything (SAM, SAM2), and MobileSAM.

A Python library that uses a webcam to detect and highlight a person's heart rate in real-time.

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

An AI-powered smart recipe generation platform supporting Chinese and international cuisines with nutrition analysis, drink recommendations, and recipe visualization.

An implementation of Dreambooth for Stable Diffusion, with a focus on training faces, objects, and styles.

An educational AI robot based on NVIDIA Jetson Nano, useful for learning about robotics and AI.

Automatic generation of visualizations and infographics using large language models.

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

A personal GitHub page for a computer vision and deep learning researcher.

InternGPT is an open-source demo platform that showcases various AI models, including DragGAN, ChatGPT, ImageBind, and multimodal chat.

An open-source Chinese NLP library providing state-of-the-art tools for word segmentation, dependency parsing, named entity recognition, and more.

An open-source Ruby library for interacting with the OpenAI API, including GPT-4 and DALL-E.

A collaborative benchmark for measuring and extrapolating the capabilities of language models.

A lightweight Python chess engine that can be used for AI-powered chess applications.

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

A Jupyter Notebook repository that provides visualizations and explanations for machine learning concepts and algorithms.

A high-performance image segmentation library that uses bilateral reference for dichotomous image segmentation.

A Python-based Xiaozhi AI for users who want the full Xiaozhi experience without owning specialized hardware.

An open-source codebase for generating high-fidelity podcasts from text using AI models.

This open-source Python library is a training platform for building deep learning models to recognize captchas.

A JAX-based neural network library for building and training deep learning models.

ONNX-TensorRT is a C++ library that provides a TensorRT backend for the ONNX deep learning framework.

A Python-based webservice API that provides an easy-to-use interface for the OpenAI Whisper automatic speech recognition model.

Organized resources for deep learning researchers and developers, including tutorials, frameworks, and libraries.

Comprehensive roadmap to become skilled in AI, ML, data science, and more from scratch.

A comprehensive collection of resources for researchers and developers in the Kolmogorov-Arnold Network field.

A curated collection of deep learning research papers organized by task and with the latest state-of-the-art work labeled.

A minimalist environment for decision-making in autonomous driving powered by reinforcement learning.

Alpa is a distributed training and serving framework for large-scale neural networks with auto-parallelization.

A curated list of the latest AI breakthroughs in 2022 with explanatory videos, articles, and code.

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

DeepSeekMath is a Python library that pushes the limits of mathematical reasoning in open language models.

A collection of 30 Jupyter Notebook implementations inspired by the Papercode platform, focused on vibe coders.

A Keras library for building sequence-to-sequence models, useful for vibe coders building AI-powered apps.

A Python library for converting video files to text transcripts using AI-powered speech recognition.

CUDA Python: A library that brings the power of CUDA to Python, enabling high-performance GPU acceleration.

A comprehensive machine learning study plan for developers to learn and master ML concepts and tools.