Stars
Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
Keras implementation of LSTM Variational Autoencoder
Scalable semi-supervised learning with deep variational autoencoders
Deep Learning Pipelines for Apache Spark
An Open Source Machine Learning Framework for Everyone
A bot for financial signal
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
Tutorials for creating and using ONNX models
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Objective of this project is to develop few real time interactive visualizations on Hadoop (Hive or Hbase) data using an open source platform (Will be using D3 with Flask).
Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU
SortMeRNA: next-generation sequence filtering and alignment tool
breseq is a computational pipeline for finding mutations relative to a reference sequence using high-throughput DNA resequencing data. It is intended for haploid microbial genomes (<20 Mb). breseq …
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
A computer algebra system written in pure Python
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A plugin for Spyder to run tests and view the results
Algorithm to implement Fraction and Copy number Estimate from Tumor/normal Sequencing.
A free Python-distribution for Windows platform, including prebuilt packages for Scientific Python.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
pytest plugin for Qt (PyQt5/PyQt6 and PySide2/PySide6) application testing
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.