ybautista's Stars
ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
mps-youtube/yewtube
yewtube, forked from mps-youtube , is a Terminal based YouTube player and downloader. No Youtube API key required.
learn-anything/books
Awesome Books
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
realpython/materials
Bonus materials, exercises, and example projects for our Python tutorials
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
websocket-client/websocket-client
WebSocket client for Python
gautamkrishnar/nothing-private
Do you think you are safe using private browsing or incognito mode?. :smile: :imp: This will prove that you're wrong. Previously hosted at nothingprivate.ml
clever-algorithms/CleverAlgorithms
Clever Algorithms: Nature-Inspired Programming Recipes
yhilpisch/py4fi2nd
Jupyter Notebooks and code for Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.
mdipierro/nlib
The book "Annotated Algorithms in Python" and the nlib.py library
packt-cli/Packt-Publishing-Free-Learning
Scripts that automatically claim and download free daily eBooks from https://www.packtpub.com/packt/offers/free-learning
Crypto-toolbox/pandas-technical-indicators
Technical Indicators implemented in Python using Pandas
mlss-2019/tutorials
PacktPublishing/Python-for-Finance-Second-Edition
Python for Finance – Second Edition, published by Packt
cnbeining/deep-learning-with-python-cn
Deep Learning with Python 中文翻译
dvrg/machine-learning-for-learning-resources
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
khpeek/funda-scraper
Scraper of the Dutch real estate website www.funda.nl, implemented in Python with Scrapy
gudbrandtandberg/CPSC540Project
Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg
zalopay-oss/effective-engineer
Works smarter but not harder
CDitzel/Deep-Learning-Literature
Collection of Papers and Books concerning Deep Neural Networks
bugra/l1
L1 Trend Filtering
goutomroy/digging_asyncio
python 3.7 asyncio tutorial.
TheCyberHead/CyberHead
Modular Open Source Trading
macromancer/DLTutorial_Python
Jason Brownlee의 Deep Learning with Python에 소개된 내용을 .ipynb로 옮겨서 따라하기 쉽게 만드는 작업
e-gulakhmet/LifeCells
Learning task "Life cells" from book Etudes for Programmers by Charlse Whetherell
ivlazarev/etudes
Ch. Wetherell's Etudes for Programmers