gurusura Goto Github PK

pybrain

pyevm

Python implementation of EVM(Eulerian Video Magnification)

pynse

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

pysparnn

Approximate Nearest Neighbor Search for Sparse Data in Python!

python-notebooks

IPython Notebooks from old blog posts

python-stock-analysis

python-tesseract-3.02-training

A script to partially automate the training of new fonts/languages with Tesseract 3.02

pythonanalytics

This is as a repository for me to keep my Kaggle and Practice with iPython Notebook

pythonforfinancialanalysis

Learn backtesting with Python and Pandas. A full course with FREE ebook.

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

receipt-recognition

recorderjs

A plugin for recording/exporting the output of Web Audio API nodes

recurrent-autoencoder

archiving old code

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

relataly-public-python-tutorials

Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.

reppy

Modern robots.txt Parser for Python

retina

Diabetic Retinopathy Contest

rl-book-challenge

self-studying the Sutton & Barto the hard way

rnnlm

Recurrent Neural Network Language Modeling (RNNLM) Toolkit

scantailor

search.morling.dev

Serverless website search for morling.dev

sign-language-recognition-using-convolutional-neural-networks

sign language recognition using convolutional neural networks tensorflow opencv and python

skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

sopaper

Automatically Search and Download Papers

stanford-cs224n

Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)

stochastic-optimization

Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.