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camstyle

Camera Style Adaptation for Person Re-identification CVPR 2018

capsule-network-tutorial

Pytorch easy-to-follow Capsule Network tutorial

cater

CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning

causal-induction-from-visual-observations-for-goal-directed-tasks

Just model description about CAUSAL INDUCTION FROM VISUAL OBSERVATIONS FOR GOAL DIRECTED TASKS

cbr

Cascaded Boundary Regression For Temporal Action Detection

cevae

Causal Effect Inference with Deep Latent-Variable Models

cevae_pytorch

circuit-gnn

[ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/

clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

cmcs-temporal-action-localization

Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization (CVPR2019)

cnn-explainer

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

cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

cnn_finetune

Fine-tune CNN in Keras

coarse-fine-networks

Code for our CVPR 2021 paper "Coarse-Fine Networks for Temporal Activity Detection in Videos"

code

colorization-pytorch

PyTorch reimplementation of Interactive Deep Colorization

compositional_learning

Compositional Learning for Human Object Interaction

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coop

Learning to Prompt for Vision-Language Models.

cornn

Coupled Oscillatory RNN (coRNN)

counterfactual_generative_networks

[ICLR'21] Counterfactual Generative Networks

covamnet

The code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.

cross-modal-re-id-baseline

Pytorch Code for Cross-Modality Person Re-Identification (Visible Thermal Re-ID)

crosslingual-cca

cutmix-pytorch

Official Pytorch implementation of CutMix regularizer

cutout

2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN https://arxiv.org/abs/1708.04552

cv_spatiotemporal_feature_3d_cnn

Spatiotemporal

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论（STAT 157）”教材。

dag-gnn

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection