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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarialnetspapers

Awesome paper list with code about generative adversarial nets

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

cheatsheets

Official Matplotlib cheat sheets

cs229-fall-2018-problem-solutions

Problem sets solutions of Stanford CS229 Fall 2018.

dash-core-components

A dash component starter pack :stars:

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

financial-machine-learning

A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)

finbert

Financial Sentiment Analysis with BERT

hands-on-web-scraping-with-python

Hands-On Web Scraping with Python, published by Packt

hands-on-webscraping

This repo is a part of blog series on several web scraping projects where we will explore scraping techniques to crawl data from simple websites to websites using advanced protection.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

kaggle-crowdflower

1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.

keras-squeeze-excite-network

Implementation of Squeeze and Excitation Networks in Keras

keras-vggface

VGGFace implementation with Keras Framework

machine-learning-for-algorithmic-trading-second-edition

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

machine-learning-momentum-trading-

Momentum following strategies based on Neural Network Models and optimal execution cost via Implement Shortfall minimization using Volume Predictions and VWAP targeting

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nlp-conferences-code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

pandas_advanced_exercise

Pandas进阶修炼300题

pgmpy

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

practice_notes

python-scientific-computation

《Python科学计算》第二版张若愚老师的演示代码

python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

scikit-learn

scikit-learn: machine learning in Python

scipybook2

Python科学计算(第2版) 的源代码

stackgan

stockcrawl

sentiment analysis of financial news articles from web scrapers

tensorflow-vae-gan-draw

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).