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A playbook for systematically maximizing the performance of deep learning models.

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

A small course on exploiting and defending neural networks

An open source trusted cloud native registry project that stores, signs, and scans content.

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

Restoration of defocused and blurred photos/images

Image Deblurring using Generative Adversarial Networks

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

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）

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

Python - 100天从新手到大师

An interpreter module for AIML (Artificial Intelligence Markup Language), support Chinese, support Python3

Labeled LDA in Java (based on JGibbLDA)

Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python

All Algorithms implemented in Python

Java Evaluator API for PMML

100 Days of ML Coding

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Sequential model-based optimization with a `scipy.optimize` interface

Statistical Machine Intelligence & Learning Engine

Companion code to my O'Reilly book "Flask Web Development", second edition.

Face recognition with deep neural networks.

The world's simplest facial recognition api for Python and the command line

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

A brand logo detection system using tensorflow object detection API.

A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.

The Open Motion Planning Library (OMPL)

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!