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parametersweep

A library for working with parameter sweeps

parsemis

The ParSeMiS project (Parallel and Sequential Graph Mining Suite) searches for frequent, interesting substructures in graph databases. https://www2.cs.fau.de/EN/research/zold/ParSeMiS/index.html

pendulum_control

Simulation of an inverted pendulum

personal_website_source

Easily create a beautiful website using Academic and Hugo

pydaal-tutorials

Tutorials for uisng PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library

pyflann

python bindings for FLANN - Fast Library for Approximate Nearest Neighbors.

pymoliere

Moliere is a biomedical hypothesis generation system, meaning that it collects millions of research papers and finds fruitful new research directions.

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

records-research

reinforcement-learning

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

sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

scikit-learn

scikit-learn: machine learning in Python

scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

scipy

Scipy library main repository

scipy_con_2019

Tutorial Sessions for SciPy Con 2019

scvi

Deep generative modeling for single-cell transcriptomics

scvi-reproducibility

Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"

simplecodes

spark

Mirror of Apache Spark

spark-notebook

Interactive and Reactive Data Science using Scala and Spark.

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

subdue

Graph Based Knowledge Discovery, I am not the author, git'ified from:

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

tensorflow-talk-debugging

💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

text2ldac

python command line tool that takes a directory containing .txt files as input and generates three output files that can be used by the ldac or hlda implementations by David Blei