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cuda-convnet2

Automatically exported from code.google.com/p/cuda-convnet2

cuda-neural-network

Convolutional Neural Network with CUDA (MNIST 99.23%)

cupy

NumPy-like API accelerated with CUDA

cyclic-learning-schedulers-pytorch

A PyTorch Implementation of popular cyclic learning rate schedules

dali-pytorch

A PyTorch toolkit for extremely fast ImageNet training with NVIDIA DALI.

dataloaders_dali

PyTorch DataLoaders implemented with DALI for boosting image preprocessing

dcnv2

Deformable Convolutional Networks v2 with Pytorch

ddc-svd

Double Divide and Conquer Singular Value Decomposition

deconv_clm

deep-learning

Deep Learning Application Examples

deep-learning-dynamics-paper-list

This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.

deeplearning-benchmark

deeplearning-control

Neural ODEs and torchdiffeq to solve control problems such as LQR

deeprobust

A pytorch adversarial library for attack and defense methods on images and graphs

deformable-convnets

Deformable Convolutional Networks

deformable-convolution-v2-pytorch

Deformable ConvNets V2 (DCNv2) in PyTorch

deforming-the-loss-surface

Source code of the paper ``Deforming the Loss Surface''

deit

Official DeiT repository

deit-cifar

Data Effiecient Image Transformers Implemented on a smaller Scale, using the CIFAR100 dataset and downsampled Imagenet ImageNet32

delayedsparse

Efficient sparse matrix implementation for various "Principal Component Analysis"

deml

Material for a course on differential equations in machine learning

di-engine

OpenDILab Decision AI Engine

dm-improves-at

Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)

docker-codeweavers_crossover-vnc

A docker for run CrossOver though VNC remote manage

easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

efficient-longdoc-classification

efficientnet-pytorch

A PyTorch implementation of EfficientNet

efficientnet-pytorch-1

PyTorch implementation of "EfficientNet", ICML 2019

efficientnet-pytorch-2

A PyTorch Implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".

efficientnets-pytorch

A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."