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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-public-datasets

A topic-centric list of HQ open datasets in public domains. PR ☛☛☛

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

coursera-ng-improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization

Short description for quick search

data

An index of all open-source data

deep-learning-model-convertor

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

deeptrade

A LSTM model using Risk Estimation loss function for stock trades in market

diabetic-data-readmission-prediction-in-r

Diabetes is a chronic condition prevalent among more than 100 million people across the world. The chances of readmission of diabetic patients are quite high.The objective of this project is to predict whether the patient will be readmitted to the hospital or not. For predicting it most accurately I have used various prediction models like Logistic Regression, Decision Trees, Neural Networks, Random Forests, SVM and Naïve Bayes and seen their performance in order to get the best results.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

hands-on-recommendation-systems-with-python

Hands-On Recommendation Systems with Python published by Packt

handson-ml

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

machinelearningstocks

Using python and scikit-learn to make stock predictions

medical-data

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

modeldb

A system to manage machine learning models

nlu-evaluation-corpora

Corpora for evaluating NLU services (like API.ai, RASA, Microsoft LUIS, ...)

pipeline

PipelineAI: Real-Time Enterprise AI Platform

pwc

Papers with code. Sorted by stars. Updated weekly.

pycaret

An open source, low-code machine learning library in Python

quant_stock

Stock analysis/prediction model using machine learning

reinforcement-learning

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

rock-paper-scissors

stock-prediction

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

stock-prediction-1

LSTM RNN for sentiment-based stock prediction

stocknet-dataset

A comprehensive dataset for stock movement prediction from tweets and historical stock prices.

stockrecommendsystem

An intelligent recommender system for stock analyzing, predicting and trading

stocksight

Stock analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis