deepcharle's repositories
albumentations
fast image augmentation library and easy to use wrapper around other libraries
Augmentor
Image augmentation library in Python for machine learning.
auto-paper-list
A Python tool for automatic constructing and downloading paper list
baiduyun
🖖油猴脚本 一个脚本搞定百度网盘下载 https://www.baiduyun.wiki
CCNet
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
deeplabv3plus-pytorch
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
GAN_Review
A Survey and Taxonomy of the Recent GANs Development
GraphMemVOS
Video Object Segmentation with Episodic Graph Memory Networks (ECCV2020 spotlight)
kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
kornia
Open Source Differentiable Computer Vision Library for PyTorch
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
OpticalFlow_Visualization
Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge
partialconv
A New Padding Scheme: Partial Convolution based Padding
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
STM-Training
training script for space time memory network with additional cyclic features
SurveyCSS
A Survey on Continual/Incremental Semantic Segmentation
the-craft-of-selfteaching
One has no future if one couldn't teach themself.
torch_videovision
Transforms for video datasets in pytorch
video_analyst
A series of basic algorithms which is useful for video understanding, including Single Object Tracking (SOT) , Video Object Segmentation (VOS),