Engen

Deep-Learning-Coursera. Deep Learning Specialization by Andrew Ng, deeplearning.ai.

DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning. Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

LeetCode. :pencil: Python / C++ 11 Solutions of All LeetCode Questions

Deep-Neural-Net. Deep Learning in tensorflow and keras.

self-driving-car. The Udacity open source self-driving car project

ml-interviews-book. https://huyenchip.com/ml-interviews-book/

Firebase-Chat-App. Simple chat App for iOS with Firebase backend, supports realtime messaging, image and photo sharing.

awesome-project-ideas. Curated list of Machine Learning, NLP, Vision, Reinforcement Learning Project Ideas

Machine-Learning-Algorithms-from-Scratch. Machine Learning Algorithms implementation in Python from scratch. Understanding the algorithms on low level enables easy to debug and allows to choose right alrorithm for ML model development.

ViewTube. YouTube Clone App for iOS.

coursera-Advanced-Machine-Learning-specialization. Repo for coursera specialization Advanced Machine Learning by Higher School of Economics

Data-Structure-and-Algorithms-in-Python. Data Structure and Algorithms for interview preparation.

stanford-tensorflow-tutorials. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

YouTube-iOS-App. Youtube iOS App written in swift with MVC pattern.

deep-reinforcement-learning. Repo for the Deep Reinforcement Learning Nanodegree program

swift-apis. Swift for TensorFlow Deep Learning Library

machine-learning-yearning. Translation of <Machine Learning Yearning> by Andrew NG

GANS. Jupyter Notebook

CtCI-6th-Edition-Python. Cracking the Coding Interview 6th Ed. Python Solutions

TensorFlow-Examples. TensorFlow Tutorial and Examples for Beginners with Latest APIs

Learn_Machine_Learning_in_3_Months. This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

yolov3. YOLOv3 in PyTorch > ONNX > CoreML > iOS

generative-models. Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

DataStructureAndAlgorithmicThinkingWithPython. Data Structure And Algorithmic Thinking With Python

DCGAN-tensorflow. A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

generative-adversarial-networks. Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

PythonDataScienceHandbook. Python Data Science Handbook: full text in Jupyter Notebooks

course-v3. The 3rd edition of course.fast.ai - coming in 2019

leela-zero. Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

Advanced-Deep-Learning-Projects. Advanced Deep Learning Projects with Tensorflow and Pytorch

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.

project-based-learning. Curated list of project-based tutorials

NLP. Natural Language Processing Examples

practical-pytorch. PyTorch tutorials demonstrating modern techniques with readable code

examples. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

How_to_make_a_text_summarizer. This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube

mit-deep-learning. Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Facebook-App-Clone. Swift

Web-Crawler. Web crawler written in python. Crawles all the web pages links which could be use for web analytics or website sitemap

Machine-Learning-Algorithms. Udacity Intro to Machine Learning, ud120- projects

dqn. Lua/Torch implementation of DQN (Nature, 2015)

tensorflow. Computation using data flow graphs for scalable machine learning