mohamedabolfadl's Stars
cvxgrp/simulator
Tool to support backtests
Coding-with-Adam/Dash-by-Plotly
Interactive data analytics
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
jsvine/markovify
A simple, extensible Markov chain generator.
fernandodelacalle/adv-financial-ml-marcos-exercises
Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado
BlackArbsCEO/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
TencentARC/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
ageitgey/face_recognition
The world's simplest facial recognition api for Python and the command line
public-apis/public-apis
A collective list of free APIs
nvbn/thefuck
Magnificent app which corrects your previous console command.
codelucas/newspaper
newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:
kotartemiy/newscatcher
Programmatically collect normalized news from (almost) any website.
yhilpisch/aiif
Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.
L1aoXingyu/pytorch-beginner
pytorch tutorial for beginners
svenhornberg/healthcheckcompose
AminHP/gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
nicknochnack/Reinforcement-Learning-for-Trading-Custom-Signals
nicknochnack/Reinforcement-Learning-for-Trading
A walkthrough of using the gym-anytrading environment for reinforcement learning applications leveraging custom datasets.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
mchmarny/long-running-job
Demo showcasing the use container execution feature in GCE to effectively run long running jobs
docker-for-data-science/docker-for-data-science-tutorial
Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
robertmartin8/PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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.
rslim087a/PyTorch-for-Deep-Learning-and-Computer-Vision-Course-All-Codes-
PyTorch for Deep Learning and Computer Vision Course
deepsense-ai/Keras-PyTorch-AvP-transfer-learning
We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!
MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学