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🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET)，兼容 ClashX Pro、Clash for Windows 等基于 Clash Premium 内核的客户端。
Deep reinforcement learning GPU libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.
llama3 implementation one matrix multiplication at a time
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
**DeepL免秘钥,免启服务**,双击使用,免费无限次使用,(**新增DeepL单词查询功能**)根据网页版JavaScript加密算法逆向开发的bobplugin;所以只要官网的算法不改,理论上就可以无限使用;(重大更新!!!回馈老用户,现已优化,频繁访问后仍然可以继续免费翻译!!) **apiKey is not required,No account password required**
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
Set of robotic environments based on PyBullet physics engine and gymnasium.
Clean PyTorch implementations of imitation and reward learning algorithms
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Exploring Deep Reinforcement Learning - Deep Q Networks
A collection of robotics simulation environments for reinforcement learning
Reinforcement Learning examples implemented in openai gymnasium environment using python
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Hooked CUDA-related dynamic libraries by using automated code generation tools.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Self-hosted Image and Video Hosting solution, your own Flickr/imgur media sharing alternative with your rules.
NVIDIA Linux open GPU kernel module source
Dynamic Memory Management for Serving LLMs without PagedAttention
Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.
A high-throughput and memory-efficient inference and serving engine for LLMs
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A toolkit for developing and comparing reinforcement learning algorithms.
