meteozay

fg-sgd

Repository of Fine-grained Stochastic Gradient Descent.

fgo_dnns

Fine Grained Optimization of Deep Neural Networks

flower

Flower - A Friendly Federated Learning Research Framework

G-invariant

lapis

Codebase for Learnable preconditioning for Image Super-resolution with Disentangled Feature Representations.

meta-blocks

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

nntrainer

NNtrainer is Software Framework for Training Neural Network Models on Devices.

pvae

code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".

pytext

A natural language modeling framework based on PyTorch

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

brainiak

Brain Imaging Analysis Kit

DeeperCluster

Implements the unsupervised pre-training of convolutional neural networks

DensePose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

e3d_lstm

deep learning; video understanding; unsupervised learning

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

graph_nets

Build Graph Nets in Tensorflow

Horizon

A platform for Applied Reinforcement Learning (Applied RL)

hypertools

A Python toolbox for gaining geometric insights into high-dimensional data

imgclsmob

Sandbox for training convolutional networks for computer vision

Learning-to-Convolve

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mc_gradients

pytorch_GAN_zoo

A mix of GAN implementations including progressive growing

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

sonnet

TensorFlow-based neural network library

stochastic_gradient_push

Stochastic Gradient Push for Distributed Deep Learning

Temporal-3D-Pose-Kinetics

Exploiting temporal context for 3D human pose estimation in the wild: 3D poses for the Kinetics dataset

ugscnn

Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators

VMZ

VMZ: Model Zoo for Video Modeling