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anomaly_transformer_pytorch

PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

attention_in_graph

attention mechanism for graph classification, significant sub-graph mining, graph disstillation

bcnet

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

cream

This is a collection of our NAS and Vision Transformer work.

cvpr15deepcompare

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dgcnn

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffpool

dstagnn

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

ffmpeg-python

Python bindings for FFmpeg - with complex filtering support

food_items_detection_without_cnn

gald-dgcnet

Source code and models GALD net (BMVC-2019)and Dual-Seg Net (BMVC-2019)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

glore

Global Reasoning module for visual recognition

grad-cam

[ICCV 2017] Torch code for Grad-CAM

graph-based-image-segmentation

Python implementation of Efficient Graph-Based Image Segmentation.

graph-learning

Graph model implementation

hevc-cu-depths-prediction-cnn

Using convolutional neural networks to predict the Coding Units (CUs) depths in HEVC intra-prediction mode, in order to reduce the time of the encoding process in HEVC.

hgcn

learn-to-cluster

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

liteflownet

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

maskrelation

Code of masked relation learning for deepfake detection