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active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

assemblyutility

blindcall

DNA base-calling using blind convolution.

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error < 0.4%.

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

datacamp-community-tutorials

Tutorials for DataCamp (www.datacamp.com)

dbg2olc

A genome assembler that reduces the computational time of human genome assembly from 400,000 CPU hours to 2,000 CPU hours, utilizing long erroneous 3GS sequencing reads and short accurate NGS sequencing reads.

deconvolution

deepguidedfilter

Official Implementation of Fast End-to-End Trainable Guided Filter, CVPR 2018

dvs

ekfac-pytorch

Repository containing Pytorch code for EKFAC and K-FAC perconditioners.

examples

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

flax

Flax is a neural network library for JAX that is designed for flexibility.

get_all_tickers

Get all publicly traded tickers with this library

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

js-markdown-editor

An easy to use markdown editor with live preview and Image uploading

keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

lightcapsnet

A Matlab implementation of the capsule networks (or capsnet).

lightnet

Efficient, transparent deep learning in hundreds of lines of code.

maskrcnn-benchmark-1

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

network-deconvolution-pp

objax

panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

pwc-net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-center-loss

Pytorch implementation of Center Loss

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers