Deformable Convolutional Networks v2 with Pytorch

YOLOv3 in PyTorch > ONNX > CoreML > iOS

All Algorithms implemented in C++

Python & JAVA Solutions for Leetcode

Stanford Code From Cars That Entered DARPA Grand Challenges

Keras implementation of Mobile Networks

My own lc solutions

Implementation of Machine Learning Algorithms

This repository is used to publish source code of my deep learning book

《TensorFlow技术解析与实战》的源码整理、补充和讨论

Attention mechanism Implementation for Keras.

你渴望尝试新的技术：GraphQL, Figma, MobX； 你耐心等待优秀的中文翻译: 等待，等待，还是等待； 你来者不拒地寻找提高英语水平的最佳方法: 疯狂英语，红宝书，玄学； 我这里有本“葵花宝典”。。。

Slides and code from our TensorFlow workshop.

Building a scalable foundation for deep learning

Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book

A curated list of Machine Learning Surveys, Tutorials and Books.

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

Interview questions

Curiosity-driven Exploration for Deep Reinforcement Learning by Self-supervised Prediction

Caffe Implementation of Google's MobileNets

A consolidated collection of resources for you to learn and understand algorithms and data structures easily.

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

A visual interface for sklearn

Base pretrained model and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Kaggle problem solving

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN