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100daysofml

18s096sciml

18.S096 - Applications of Scientific Machine Learning

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

alphapy

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-machine-learning

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

awesome-python-data-science-books

Probably the best curated list of data science books in Python

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

bayesmadesimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

capillary_helper_scripts

Helper scripts for [Capillary ML Hack](https://datahack.analyticsvidhya.com/contest/capillary-machine-learning-hackathon/)

cloudml-samples

Samples for Google Cloud Machine Learning Engine

cookiecutter-kaggle

A cookiecutter Conda template to bootstrap your Kaggle projects (and any data science Python projects anyway)

cs329s-ml-deployment-tutorial

Code and files to go along with CS329s machine learning model deployment tutorial.

darts

A python library for easy manipulation and forecasting of time series.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-reinforcement-learning-in-trading

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

dlaicourse

Notebooks for learning deep learning

elementsofstatisticallearning

google-foundationofprog

Solutions of Tech Dev Guide's Foundation of Programming path

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

hands-on-time-series-analylsis-python

Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel

handson-unsupervised-learning-with-python

HandsOn-Unsupervised-Learning-with-Python, Published by Packt

interpretable-ml-book

Book about interpretable machine learning

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

keras-wtte-rnn

Demo Weibull Time-to-event Recurrent Neural Network in Keras

library

📚Collection of various guides, books and papers.

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

machinelearn

machineLearning codes for data hacks/competitions