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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.
A Python library that provides user profile-based long-term memory for AI chatbot applications.
A collection of recent Transformer-based computer vision and related research papers.
Comprehensive repository showcasing the latest advances in System-2 reasoning and LLM-based AI models.
A Python library that combines RAdam, Gradient Centralization, and LookAhead optimizers for deep learning models.
A curated collection of outstanding AI open-source projects for developers building with AI tools.
A Python library that combines the latest version of YOLOv5 and DeepSort for object detection and tracking.
This repository provides a PyTorch implementation of a state-of-the-art method for multi-view 3D human pose estimation.
This GitHub repository contains notes for the Fastai Deep Learning Course, focused on deep learning and image recognition using Python and PyTorch.
A Python-based tool that helps developers solve SQL issues in real-world applications using LLM-powered pathways.
A real-time portrait animation library that supports ONNX and TensorRT for fast inference on various platforms.
A comprehensive guide for developers to stay up-to-date with the latest advancements in AI, ML, DL, and computer vision.
A high-performance, GPU-accelerated multimedia/video processing framework for transcoding, AI inference, and more.
A Python library for Chinese named entity recognition using a Flat-Lattice Transformer model.
A Chinese version of the GPT-2 language model training code, using the BERT tokenizer.
KataGo is an open-source Go engine and self-play learning platform for AI research and development.
Motion is a software motion detector, a useful tool for developers working on computer vision projects.
A Python project that enables natural, spoken conversations with AI using real-time voice chat.
Pointcept is a codebase for point cloud perception research, featuring the latest works on 3D computer vision.
Run AI models like LLaMA locally on your machine with Node.js bindings for llama.cpp and enforce JSON schema on the output.
A TensorFlow implementation of contextualized word representations from bi-directional language models.
Spearmint is a Bayesian optimization codebase for AI and machine learning experiments.
A Persian natural language processing toolkit for tasks like tokenization, lemmatization, and part-of-speech tagging.
An extension for Auto1111 Stable Diffusion webui that adds text-to-video diffusion models like ModelScope or VideoCrafter.
This GitHub repository is a curated list of reinforcement learning environments, which can be useful for AI and ML researchers and developers.
A fast, flexible, and fun neural networks library for Python developers working with AI tools.
bloom is a Python library for evaluating any behavior immediately, focused on AI safety research.
An open-source implementation of LLaMA-based ChatGPT that runs on a single GPU, with a 15x faster training process.
A comprehensive guide to PyTorch, a popular deep learning framework for AI and machine learning development.
This repository contains mobile manipulation research tools for roboticists.
A Python library that implements statistical learning methods from the book 'Statistical Learning Methods' by Li Hang.
Official code for an open-source library for scaling up expressive human pose and shape estimation using AI.
A Python library for generating human-centric videos using collaborative multi-modal conditioning.
DeblurGAN-v2 is a deep learning-based solution for fast and high-quality image deblurring, useful for vibe coders working with computer vision.
Efficient architectures for interactive conditional GANs, useful for image-to-image translation tasks.
A PyTorch-based audio processing library for spectrograms, CQT, and neural network-based preprocessing.
A starter agent that can solve a number of OpenAI Universe environments, useful for AI and ML developers.
CatBoost tutorials repository providing hands-on examples and guides for the open-source machine learning library.
Superagent protects AI apps against prompt injections, data leaks, and harmful outputs.
A high-performance, AI-native database for LLM applications with hybrid search capabilities.
A comprehensive collection of tutorials and resources for AI, deep learning, and machine learning in Python.
A collection of resources and tools related to knowledge distillation, a technique for compressing and transferring knowledge from a larger model to a smaller one.
A JAX-based neural network library for building and training deep learning models.
A Python tool that concatenates a directory of files into a single prompt for use with large language models (LLMs)
A lightweight digital human model that can run in real-time on mobile devices.
A Python framework for multi-agent reinforcement learning research and development.
A collection of TensorFlow tutorial code examples for learning deep learning from beginner to advanced.
A Wechat bot framework that allows developers to build AI-powered chatbots and conversational applications.
A playground for running AI red teaming exercises, including infrastructure setup.
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