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ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithms

Minimal examples of data structures and algorithms in Python

awesome-autonomous-driving

awesome-books-high-quality

高质量书籍和博客

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-knowledge-distillation

Awesome Knowledge Distillation

baidu_crowddetection

百度之星开发者大赛项目

basic-implementation-of-digital-image-processing-in-matlab

Performing Basic Image Processing & Analysis using the MATLAB Image Processing Toolbox

basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

bigtalk_about_computer

For the book of "Bigtalk about Computer" written by Dongguage

blocking-tutorial

Anatomy of High-Performance Many-Threaded Matrix Multiplication

blog.github.io

c9-python-getting-started

Sample code for Channel 9 Python for Beginners course

capsnet

A PyTorch implementation of CapsNet based on NIPS 2017 paper "Dynamic Routing Between Capsules"

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

clash-for-linux-backup

clash for linux备份仓库

crowd-counting-scnn

This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results

crowdcount-mcnn

Single Image Crowd Counting via MCNN (Unofficial Implementation)

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

darkrank

data-science-competitions

Goal of this repo is to provide solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

deep-crowd-counting_crowdnet

An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deep-learning-notes

Experiments with Deep Learning

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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning-models

A collection of various deep learning architectures, models, and tips

depthwiseconvolution

A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)

design-patterns-py

《大话设计模式》Python实现

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.