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data-aug-invariance

A pipeline for flexibly training and evaluating neural networks for image object recognition with Keras. It allows analysing the effect of data augmentation and explicit regularisation methods, as well as training with data augmentation invariance

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

data-efficient-model-compression

Data Efficient Model Compression

dataaugmentationinterventions

dataloader.async

An asynchronous pytorch Dataloader for general neural network pipeline accelaration.

dataset-distillation

Dataset Distillation

dau-convnet

Displaced Aggregation Units for Convolutional Networks from "Spatially-Adaptive Filter Units for Deep Neural Networks" paper

dc_benchmark

dcl

Destruction and Construction Learning for Fine-grained Image Recognition

dcp

Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”

dcp-gan

[CVPR 2024] Diversity-aware Channel Pruning for StyleGAN Compression

dctnet

ddpnas

Dynamic Distribution Pruning for Efficient Network Architecture Search

deep-class-incremental-learning

The code repository for "Deep Class-Incremental Learning: A Survey" in PyTorch.

deep-finance

Datasets, papers and books on AI & Finance.

deep-gradient-compression

[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

deep-metric-learning-baselines

PyTorch Implementation for Deep Metric Learning Pipelines

deep-n-cheap

AutoML framework balancing performance and complexity

deep-split-ensembles

Why have a Unified Uncertainty? Disentangling it using Deep Split Ensembles

deep-symmetry

deep_architect

A general, modular, and programmable architecture search framework

deep_learning_object_detection

A paper list of object detection using deep learning.

deep_metric

Deep Metric Learning

deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

deeper-insights-weight-sharing

deepinversion

deeplearning-models

A collection of various deep learning architectures, models, and tips

deepo

Set up deep learning environment in a single command line.

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.