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academic-kickstart

Easily create a beautiful website using Academic and Hugo

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-detection-transformer

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

better-explanations

Warehouse for running small experiments and sharing them with the group

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

bottom-up-attention-vqa

An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

bpl

Bayesian Program Learning model for one-shot learning

c3net.pytorch

Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"

caffe

Caffe: a Fast framework for neural networks

carc

Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval

ccv

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

cdssm

CDSSM implementation in torch

clevr-dataset-gen

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

clip

Contrastive Language-Image Pretraining

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

convnet

A GPU implementation of Convolutional Neural Nets in C++

convnet-1

Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

convnext

Code release for ConvNeXt model

cuda-convnet

Fork of Alex Krizhevsky's cuda-convnet. Adds dropout.

cuda-convnet2-pure-cpp

A project converting original cuda-convnet2 to pure cpp project

cunn

cupy

NumPy-like API accelerated with CUDA

cxxnet

CXXNET, yet another neural network toolkit

dcn.pytorch

PyTorch implementation of Deformable Convolution Networks (Supports Pytorch 1.0)

deep_gcns_torch

Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://deepgcns.org

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deeprl

Highly modularized implementation of popular deep RL algorithms by PyTorch

deformable-convnets

Deformable Convolutional Networks