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awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bilibili

caffe-segnet-cudnn5

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

cd-diagram

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

cifar-10_pytorch

Implement MobileNets architecture in PyTorch using the CIFAR 10 dataset

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cv-project2019

cv project for computer version course

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

dain

Code release for "Differential Angular Imaging for Material Recognition", CVPR 2017.

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

deep-encoding-pooling-network-dep-

Code release for "Deep Texture Manifold for Ground Terrain Recognition", CVPR 2018

deep-learning-for-image-processing

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

deep-terrain-classification

Source code to run the algorithms presented in the paper titled "Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification"

dl-4-tsc

Deep Learning for Time Series Classification

erfnet

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

gitskills

google-research

Google AI Research

gpmat

Matlab implementations of Gaussian processes and other machine learning tools.

har-keras-cnn

hithesis

嗨！thesis！哈尔滨工业大学毕业论文LaTeX模板

hitszdailyhealth

哈工大深圳每日健康上报

how-to-be-a-good-programmer

I'm here to tell you some amazing stuff which teacher would never tell you.

iai

保姆级深度学习从入门到放弃，٩◔̯◔۶

ijcnn19ensemble

Deep Neural Network Ensembles for Time Series Classification

introrl

Intro to Reinforcement Learning (强化学习纲要）

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

learngit

learning-long-range-perception

Companion website for the article Learning Long-Range Perception Using Self-Supervision from Short-Range Sensors and Odometry

learning_quadrupedal_locomotion_over_challenging_terrain_supplementary

Supplementary materials for "Learning Locomotion over Challenging Terrain"