The world's simplest facial recognition api for Python and the command line
- machine-learning
- face-detection
- face-recognition
- python
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The world's simplest facial recognition api for Python and the command line
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.
A collection of learning resources for curious software engineers
We write your reusable computer vision tools. 💜
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
A community-supported supercharged document management system: scan, index and archive all your documents
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
TranslatedAiLearning: Data Analysis + Machine Learning in Action + Linear Algebra + PyTorch + NLTK + TF2
Making large AI models cheaper, faster and more accessible
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
SGLang is a high-performance serving framework for large language models and multimodal models.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.