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100-days-of-ml-code

100 Days of ML Coding

artificial-intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

awesome-super-resolution

Collect super-resolution related papers, data, repositories

basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

building-computer-vision-projects-with-opencv4-and-cplusplus

Implement complex computer vision algorithms and explore deep learning and face detection

captum

Model interpretability and understanding for PyTorch

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cifar-zoo

PyTorch implementation of CNNs for CIFAR dataset (97.71% on cifar10)

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

cufflinks

Productivity Tools for Plotly + Pandas

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

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。

data-science-notes

数据科学的笔记以及资料搜集

deep-learning-guide

An evolving guide to learning Deep Learning effectively.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-person-reid

Deep learning person re-identification in PyTorch.

deepcrack

DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation

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

deeplearningframeworks

Demo of running NNs across different frameworks

deeplearningwithtf2.0

Practical Exercises in Tensorflow 2.0 for Ian Goodfellows Deep Learning Book

deepway

This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.

deepway.v2

Autonomous navigation for blind people

depthai-packagedimension

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意

feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018