davidurpani Goto Github PK

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

gym

A toolkit for developing and comparing reinforcement learning algorithms.

handcalcs

Python library for converting Python calculations into rendered latex.

handong1587.github.io

how-to-predict-stock-prices-easily-demo

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

hyperopt-sklearn

Hyper-parameter optimization for sklearn

ibm_rocket_course_audit

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

ipython-notebooks

A collection of IPython notebooks covering various topics.

kaggle-fast-iron

Kaggle Blue Book for Bulldozers Competition

kaggle-telstra-network-disruptions

Predict service faults on Australia's largest telecommunications network

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

keras-rl

Deep Reinforcement Learning for Keras.

leaf

Open Machine Intelligence Framework for Hackers. (GPU/CPU)

learndatascience

Open Content for self-directed learning in data science

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

lime

Lime: Explaining the predictions of any machine learning classifier

lstms_for_predictive_maintenance

LSTMS for Predictive Maintenance

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

machine-learning-samples

Sample applications built using Amazon Machine Learning.

math-of-machine-learning-course-by-siraj

Implements common machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

matplotlib

matplotlib: plotting with Python

ml-agents

Unity Machine Learning Agents

models

Models built with TensorFlow

n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

nltk

Python NLTK Jupyter Notebooks

notebooks

Machine learning notebooks in different subjects optimized to run in google collaboratory

nova

Replicating the intuition of a seasoned trader with chart data & state of the art Deep Learning Models.

optimalportfolio

An open source library for portfolio optimisation