OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
- openpose
- computer-vision
- machine-learning
- cpp
Repository Index
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Janus-Series: Unified Multimodal Understanding and Generation Models
- any-to-any
- foundation-models
- llm
- multimodal
A PyTorch-based Speech Toolkit
- speech-recognition
- speech-toolkit
- speaker-recognition
- speech-to-text
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
- nlp
- natural-language-processing
- natural-language-understanding
- language-model
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
Implementation of Nougat Neural Optical Understanding for Academic Documents
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
[CVPR2024 Highlight][VideoChatGPT] ChatGPT with video understanding! And many more supported LMs such as miniGPT4, StableLM, and MOSS.
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
- natural-language-processing
- nlp
- big-data
- data-mining
No-Frills Functional Programming Lib Augmenting Javascript/Node.js
- functional-programming
- pure-function
- recursion
- javascript
On-device Vision Model - a fully offline, free vision pipeline that gives text-only models (e.g. DeepSeek) image understanding and multilingual OCR through an OpenAI-compatible local API. Only tokens are needed: no API key, no subscription, no cloud cost. Recommended for native speakers of Chinese, English, Japanese and Korean.
Detect the sentiment captured in short pieces of text
- docker-image
- machine-learning
- machine-learning-models
- ibm