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art

deepexplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

eventbus

A lightweight and very fast event bus / event framework for C++17

flux_cpp

Pure C++17 header only implementation of the Facebook Flux-like pattern

interview-coding-questions

kpconv-pytorch

Kernel Point Convolution implemented in PyTorch

models

Models and examples built with TensorFlow

noisystudent

Code for Noisy Student Training. https://arxiv.org/abs/1911.04252

open3d

Open3D: A Modern Library for 3D Data Processing

open3d-ml

An extension of Open3D to address 3D Machine Learning tasks

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

spade-pytorch

PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"

torch-points3d

Pytorch framework for doing deep learning on point clouds.

tpu

Reference models and tools for Cloud TPUs.