A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
GitHub repository with 17,302 stars and 3,423 forks.
Language: Python
Topics: asr, deeplearning, generative-ai, machine-translation, neural-networks, speaker-diariazation, speaker-recognition, speech-synthesis, speech-translation, tts
2026-06-05: 17,302 stars and 3,423 forks.
First foundation ASR built for the real world - 7 atomic acoustic conditions, 54 compound scenarios, 2.6M samples, and up to ~30% gains over SOTA where every other model falls apart. **You'll come back to MEGA-ASR, after the rest fail in the wild. ⭐**
GitHub repository with 953 stars and 61 forks.
Trending score: 2.72; stars gained: +33; forks gained: -1.
Language: Python
Topics: asr, robust
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
An end-to-end framework for multi-speaker transcription that jointly models who spoke, when, and what.
GitHub repository with 179 stars and 7 forks.
Trending score: 1.58; stars gained: +40; forks gained: +5.
Language: Python
Topics: asr, llm, sd, sdr, speech-recognition
Generate degraded speech datasets for noise-robust ASR benchmarking
GitHub repository with 15 stars and 0 forks.
Trending score: 0.50; stars gained: +2; forks gained: +0.
Language: Python
Topics: asr, audio, audiomentations, benchmark, cli, dataset-generation
A training-free orchestration framework for building interactive omni-modal assistants by composing off-the-shelf modality experts, explicit LLM routing, text-centric cross-modal memory, and interruption-aware streaming interaction.
GitHub repository with 11 stars and 2 forks.
Trending score: 0.29; stars gained: +1; forks gained: +0.
Language: Python
Topics: asr, llm, omni, trainingfree, video-audio
The agent that grows with you
GitHub repository with 181,384 stars and 31,127 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
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 12,942 stars and 833 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,327 stars and 2,249 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
GitHub repository with 30,002 stars and 4,224 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
GitHub repository with 4,221 stars and 528 forks.
Trending score: 4.88; stars gained: +476; forks gained: +68.
Language: Python
An opinionated list of Python frameworks, libraries, tools, and resources
GitHub repository with 301,341 stars and 28,044 forks.
Trending score: 4.60; stars gained: +518; forks gained: +24.
Language: Python
Topics: awesome, python, collections, python-frameworks, python-libraries, python-tools
Hold a key, speak, release — AI-polished text appears at your cursor in any app. Open-source voice input for macOS & Windows. (按住快捷键说话，松开即得润色后的文字)
GitHub repository with 2,135 stars and 164 forks.
Trending score: 2.75; stars gained: +25; forks gained: +1.
Language: HTML
Topics: ai-prompt, asr, dictation, linux, llm, macos
First foundation ASR built for the real world - 7 atomic acoustic conditions, 54 compound scenarios, 2.6M samples, and up to ~30% gains over SOTA where every other model falls apart. **You'll come back to MEGA-ASR, after the rest fail in the wild. ⭐**
GitHub repository with 953 stars and 61 forks.
Trending score: 2.72; stars gained: +33; forks gained: -1.
Language: Python
Topics: asr, robust
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
An end-to-end framework for multi-speaker transcription that jointly models who spoke, when, and what.
GitHub repository with 179 stars and 7 forks.
Trending score: 1.58; stars gained: +40; forks gained: +5.
Language: Python
Topics: asr, llm, sd, sdr, speech-recognition
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
GitHub repository with 12,719 stars and 1,450 forks.
Trending score: 1.41; stars gained: +29; forks gained: +1.
Language: C++
Topics: asr, onnx, windows, linux, macos, cpp
AI speech toolkit for Apple Silicon — ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML
GitHub repository with 784 stars and 101 forks.
Trending score: 1.25; stars gained: +2; forks gained: +0.
Language: Swift
Topics: apple-silicon, asr, coreml, ios, macos, mlx