Stars
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Learn OpenCV : C++ and Python Examples
A High-Quality Real Time Upscaler for Anime Video
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Reference PyTorch implementation and models for DINOv3
Image restoration with neural networks but without learning.
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
CoTracker is a model for tracking any point (pixel) on a video.
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Single Shot MultiBox Detector in TensorFlow
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Notes about courses Dive into Deep Learning by Mu Li
Tutorials for creating and using ONNX models
Open-source and strong foundation image recognition models.
A small package to create visualizations of PyTorch execution graphs
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
This is code of book "Learn Deep Learning with PyTorch"
Easily compute clip embeddings and build a clip retrieval system with them
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style" (http://arxiv.org/abs/1508.06576) in Keras 2.0+
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
Keras implementation of a CNN network for age and gender estimation
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow