OrthoDex

poetry

Python packaging and dependency management made easy

netron

Visualizer for neural network, deep learning and machine learning models

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

mypy

Optional static typing for Python

detr

End-to-End Object Detection with Transformers

hydra

Hydra is a framework for elegantly configuring complex applications

tensorboardX

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

autogluon

Fast and Accurate ML in 3 Lines of Code

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

MONAI

AI Toolkit for Healthcare Imaging

SynapseML

Simple and Distributed Machine Learning

Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

xla

Enabling PyTorch on XLA Devices (e.g. Google TPU)

MedicalZooPytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Deep-Learning-Project-Template

A best practice for deep learning project template architecture.

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

MultiObjectiveOptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

deepkit-ml

The collaborative real-time open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.

toma

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

PCGrad

Code for "Gradient Surgery for Multi-Task Learning"

Grad_CAM_plus_plus

A generalized gradient-based CNN visualization technique

CADA-VAE-PyTorch

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

isolation-forest

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

covid-dash

fromage

🧀 Pytorch code for the Fromage optimiser.