pytorch/benchmark
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
GitHub repository with 1,037 stars and 340 forks.
Language: Python
Topics: pytorch, benchmark
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.
GitHub repository with 1,037 stars and 340 forks.
Language: Python
Topics: pytorch, benchmark
2026-06-04: 1,037 stars and 340 forks.
A high-throughput and memory-efficient inference and serving engine for LLMs
GitHub repository with 81,948 stars and 17,657 forks.
Trending score: 3.75; stars gained: +79; forks gained: +46.
Language: Python
Topics: amd, blackwell, cuda, deepseek, deepseek-v3, gpt
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
GitHub repository with 161,286 stars and 33,414 forks.
Trending score: 2.96; stars gained: +38; forks gained: +8.
Language: Python
Topics: nlp, natural-language-processing, pytorch, pytorch-transformers, transformer, model-hub
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
GitHub repository with 24,487 stars and 2,821 forks.
Trending score: 2.78; stars gained: +680; forks gained: +69.
Language: Python
Topics: audio, deeplearning, minicpm, python, pytorch, speech
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
GitHub repository with 42,770 stars and 7,635 forks.
Trending score: 2.03; stars gained: +10; forks gained: -2.
Language: Python
Topics: data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search
Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.
GitHub repository with 16,750 stars and 1,720 forks.
Trending score: 1.93; stars gained: +56; forks gained: +2.
Language: Python
Topics: pytorch, speech-recognition, paraformer, punctuation, speaker-diarization, voice-activity-detection
A framework for efficient model inference with omni-modality models
GitHub repository with 4,938 stars and 1,050 forks.
Trending score: 1.37; stars gained: +26; forks gained: +2.
Language: Python
Topics: audio-generation, diffusion, image-generation, inference, model-serving, multimodal
The agent that grows with you
GitHub repository with 180,940 stars and 31,034 forks.
Trending score: 5.79; stars gained: +1,360; forks gained: +322.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,420 stars and 807 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
GitHub repository with 29,960 stars and 4,217 forks.
Trending score: 4.66; stars gained: +688; forks gained: +114.
Language: Python
754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0
GitHub repository with 13,233 stars and 1,551 forks.
Trending score: 4.53; stars gained: +301; forks gained: +38.
Language: Python
Topics: ai-agents, claude-code, cybersecurity, incident-response, mitre-attack, penetration-testing
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,181 stars and 524 forks.
Trending score: 4.43; stars gained: +415; forks gained: +37.
Language: Python
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows - all through natural language commands.
GitHub repository with 130,154 stars and 21,149 forks.
Trending score: 4.42; stars gained: +277; forks gained: +38.
Language: Python
A high-throughput and memory-efficient inference and serving engine for LLMs
GitHub repository with 81,948 stars and 17,657 forks.
Trending score: 3.75; stars gained: +79; forks gained: +46.
Language: Python
Topics: amd, blackwell, cuda, deepseek, deepseek-v3, gpt
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
GitHub repository with 161,286 stars and 33,414 forks.
Trending score: 2.96; stars gained: +38; forks gained: +8.
Language: Python
Topics: nlp, natural-language-processing, pytorch, pytorch-transformers, transformer, model-hub
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
GitHub repository with 24,487 stars and 2,821 forks.
Trending score: 2.78; stars gained: +680; forks gained: +69.
Language: Python
Topics: audio, deeplearning, minicpm, python, pytorch, speech
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
GitHub repository with 42,770 stars and 7,635 forks.
Trending score: 2.03; stars gained: +10; forks gained: -2.
Language: Python
Topics: data-science, deep-learning, deployment, distributed, hyperparameter-optimization, hyperparameter-search
Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.
GitHub repository with 16,750 stars and 1,720 forks.
Trending score: 1.93; stars gained: +56; forks gained: +2.
Language: Python
Topics: pytorch, speech-recognition, paraformer, punctuation, speaker-diarization, voice-activity-detection
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
GitHub repository with 20,724 stars and 3,960 forks.
Trending score: 1.89; stars gained: +7; forks gained: +3.
Language: C++
Topics: ai-framework, deep-learning, hardware-acceleration, machine-learning, neural-networks, onnx