DeepInDeeper

MachineLearning

一些关于机器学习的学习资料与研究介绍

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

ChauffeurNet

bert

TensorFlow code and pre-trained models for BERT

YOLO_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

learnopencv

Learn OpenCV : C++ and Python Examples

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition

ExtremeNet

Bottom-up Object Detection by Grouping Extreme and Center Points

ImageNet-Adversarial-Training

ImageNet classifier with state-of-the-art adversarial robustness

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

gre-vocab-wallpaper

A python script that helped me score 321 in the GRE

subflow

Type what you need to do and this plugin will automatically fetch code from stackoverflow

cutcode

A browser extension that enables double click to copy code snippet from stack overflow.

pygta5

Explorations of Using Python to play Grand Theft Auto 5.

MIT-6.S094-Deep-Learning-for-Self-Driving-Cars

wdsr_ntire2018

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

Mask_RCNN

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

tensorflow-in-practice-code

源码实现：《TensorFlow实战》黄文坚，唐源 著

mmdetection

OpenMMLab Detection Toolbox and Benchmark

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

gluon-cv

Gluon CV Toolkit

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

DeepLearning_tutorials

The deeplearning algorithms implemented by tensorflow

ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

OCNet.pytorch

Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!

MVision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

magenta

Magenta: Music and Art Generation with Machine Intelligence

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both