Owner
OpenMOSS
16 indexed repositories · View on GitHub
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MOSS
An open-source, tool-augmented conversational language model from Fudan University
Python · 12251 stars
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MOSS-TTS-Nano
A 100M-parameter multilingual TTS model for real-time CPU inference, voice cloning, and 48 kHz stereo generation
Python · 4382 stars
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MOSS-TTS
An open-source model family for long-form speech, dialogue synthesis, voice design, sound effects, and real-time streaming TTS
Python · 4116 stars
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MOSS-Transcribe-Diarize
A 0.9B model for long-form transcription in 50+ languages with speaker diarization, timestamps, and acoustic event awareness
Python · 2041 stars
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Awesome-WAM
A curated collection of papers, explainers, and resources on World Action Models for embodied AI
HTML · 1424 stars
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MOSS-TTSD
A multilingual model for long-form, multi-speaker dialogue synthesis with flexible speaker control and zero-shot voice cloning
Python · 1400 stars
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MOVA
A foundation model that generates synchronized video and audio in a single model
Python · 1117 stars
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AnyGPT
A unified multimodal language model based on discrete sequence modeling
Python · 882 stars
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MOSS-VL
An open-weight 11B model series for long-form and real-time video understanding
HTML · 708 stars
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MOSS-Audio
An open-source model for understanding speech, environmental sounds, and music through captioning, question answering, and reasoning
Python · 665 stars
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EasyWAM
A unified framework for training, fine-tuning, and evaluating World Action Models
Python · 295 stars
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Llamascopium
A framework for training, analyzing, and visualizing sparse autoencoders and related interpretability methods
Python · 228 stars
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OpenETA
An embodied task agent that connects perception, action, verification, and learning in a continuous physical-world loop
Python · 183 stars
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MOSS-Video-Preview
An 11B model for real-time video understanding with gated cross-attention and streaming inference
Python · 171 stars
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SWE-bench-Science
A benchmark for testing whether coding agents can resolve engineering tasks in scientific software
Python · 80 stars
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FDU-AI-PRML-2024Fall
Assignments and exercises for the Fall 2024 Pattern Recognition and Machine Learning course at Fudan University
Python · 6 stars
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Difficulty 2/5 1-3 hours Newbie friendliness 68/100
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Difficulty 2/5 1-3 hours Newbie friendliness 76/100
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Difficulty 2/5 1-3 hours Newbie friendliness 74/100
OpenMOSS/Awesome-WAM#114 ·
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Difficulty 2/5 1-3 hours Newbie friendliness 74/100
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Difficulty 2/5 1-3 hours Newbie friendliness 68/100
OpenMOSS/Awesome-WAM#81 ·
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Add the LICENSE file — pyproject references one that doesn't exist (inference code has no licence) Open
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
OpenMOSS/MOSS-Audio#24 ·