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channel-distillation-1

PyTorch implement for Channel Distillation

channelnets

Tensorflow Implementation of ChannelNets (NeurIPS 18)

cifar-zoo

PyTorch implementation of CNNs for CIFAR benchmark

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

cifarsota

Reviewing recent advances in classification on CIFAR 10 and 100 datasets

cinic-10

A drop-in replacement for CIFAR-10.

ckd_nmt_distillation

Layer Combination based Knowledge Distillation Experiments for Ja->En NMT

cl-visualizing-feature-transformation

Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

classmix

cn-dpm

Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."

cnaps

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes"

cnas

Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

cnn-benchmarks

Benchmarks for popular CNN models

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

cnn-gp

Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitchison

cnn-heatmap

cnn-layer-reuse

PyTorch Implementation of "Convolutional Neural Networks with Layer Reuse", codes and pretrained models.

cnngraph

A tool that automatically extracts network structures from Tensorflow model files

cnns.pytorch

cnns training with bag of tricks in mxnet

co-regularized-alignment-for-domain-adaptation

This is an UNOFFICIAL implemnetation of Co-regularized Alignment for Unsupervised Domain Adaptation. See https://arxiv.org/pdf/1811.05443.pdf for original paper.

co-teaching

NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

coarse-to-fine-curriculum

Coarse-to-Fine Curriculum Learning

code-server

Run VS Code on a remote server.

comatch

Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization

compact-global-descriptor

Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).

compact-transformers

[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021

compress

Compressing Representations for Self-Supervised Learning

condensenet

CondenseNet: Light weighted CNN for mobile devices