Popular GitHub Repositories for Emphasizing Recent Experience

ComfyUI docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.

Self-hosted AI coding assistant

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

? The open-source alternative to Twilio.

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Modularized Implementation of Deep RL Algorithms in PyTorch

A comprehensive collection of recent papers on graph deep learning

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

A python tool that uses GPT-4, FFmpeg, and OpenCV to automatically analyze videos, extract the most interesting sections, and crop them for an improved viewing experience.

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.

Supercharged experience for multiple models such as ChatGPT, DALL-E and Stable Diffusion.

Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

The leading open-source AI copilot for JetBrains. Connect to any model in any environment, and customize your coding experience in any way you like.

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

A paper list of some recent Transformer-based CV works.

Recent Transformer-based CV and related works.

Recent Advances in Vision and Language PreTrained Models (VL-PTMs)

QPython is an Android Python engine primarily designed for Python and AI learners. It offers a range of impressive features to enhance Python programming experience.

nndeploy is an end-to-end model inference and deployment framework. It aims to provide users with a powerful, easy-to-use, high-performance, and mainstream framework compatible model inference and deployment experience.一款端到端的模型推理和部署框架。它旨在为用户提供功能强大、简单易用、高性能且兼容主流框架的模型推理和部署体验。

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch