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bilevel_augment

binary-wide-resnet

PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)

blitz-bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

blockdrop

BlockDrop: Dynamic Inference Paths in Residual Networks

bnas

Official PyTorch Implementation of Learning Architectures for Binary Networks (https://arxiv.org/abs/2002.06963) - ECCV2020 To Appear

bnet

Batch Normalization with Enhanced Linear Transformation

bonas

book_writer

borderdet

Stay tuned for updates!

born_again_neuralnet

Unofficial pytorch implementation of Born-Again Neural Networks.

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer - Pytorch

bottlenecktransformers

Bottleneck Transformers for Visual Recognition

brecq

Pytorch implementation of BRECQ, ICLR 2021

brevitas

Quantization-aware training in Pytorch

bsconv

Reference implementation for Blueprint Separable Convolutions (https://arxiv.org/abs/2003.13549)

bss_distillation

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

byteps

A high performance and generic framework for distributed DNN training

cam

Class Activation Map with Pytorch

canet

TMI 19: CANet: Cross-disease Attention Network for Joint Diabetic Retinopathy and Diabetic Macular Edema Grading

capsnet

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

cas-auto-fine-tuning

CAS-Auto-fine-tuning

cas-mas

Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"

casd

catalyst

Accelerated DL & RL

cbml

Contrastive Bayesian Analysis for Supervised Deep Metric Learning and an Integrated Deep Metric Learning Toolbox Based on Pytorch

cbs

cca.pytorch

CCAs for looking into DNNs

centernet-better

An easy to understand and better performance version of CenterNet

chair-segments

Chair Segments: A Compact Benchmark for the Study of Object Segmentation

channel-distillation

PyTorch implement for Channel Distillation