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

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

MLSS2019 Tutorial on Bayesian Active Learning

Siamese and triplet networks with online pair/triplet mining in PyTorch

Compiled lecture notes for AA274

Pytorch Tutorial for Non-Euclidean Graph Representations

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

Text Independent Speaker Verification Using GE2E Loss

💻 Data Structures and Algorithms in Python

Dilated Residual Networks

A small package to create visualizations of PyTorch execution graphs

Introduction to Deep Learning from theory to deployment

Pytorch easy-to-follow Capsule Network tutorial

An interactive, browser-based graphing library for Python ✨

Visualizer for deep learning and machine learning models

Site web of the Mathematical Tours

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

PyTorch based Deep Learning Toolbox

Noisy Networks for Exploration

A short guide on features of Python 3

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Channel Pruning for Accelerating Very Deep Neural Networks

TensorFlow Speech Recognition Challenge (Top 15%)