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Models and examples built with TensorFlow
scikit-learn: machine learning in Python
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The world's simplest facial recognition api for Python and the command line
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
OpenMMLab Detection Toolbox and Benchmark
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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 lear…
State-of-the-art 2D and 3D Face Analysis Project
Rembg is a tool to remove images background
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
PyTorch implementations of Generative Adversarial Networks.
Avatars for Zoom, Skype and other video-conferencing apps.
Image augmentation for machine learning experiments.
StyleGAN - Official TensorFlow Implementation
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A paper list of object detection using deep learning.
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼