Keith's starred repositories
albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
panoramic-object-detection
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
awesome-reinforcement-learning-zh
中文整理的强化学习资料(Reinforcement Learning)
awesome-rl
Reinforcement learning resources curated
computer-vision
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
snap-n-eat
Food detection and recommendation with deep learning
Food-Recipe-CNN
food image to recipe with deep convolutional neural networks.
quickdraw-dataset
Documentation on how to access and use the Quick, Draw! Dataset.
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
PyVideoResearch
A repository of common methods, datasets, and tasks for video research
pytorch-book
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》)
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
fastai_deeplearn_part1
Notes for Fastai Deep Learning Course
pytorch-cifar
95.47% on CIFAR10 with PyTorch
pytorch-cifar10
pytorch and cifar10
Saliency-detection-in-360-video
Saliency Detection in 360$^\circ$ Videos (ECCV2018)
spherical-cnn
Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"
neural-style
Torch implementation of neural style algorithm
CS231n-2017-Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.