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cnndetection

Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

constructed-datasets

Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"

cvpr2020-code

CVPR 2020 论文开源项目合集

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

da-rnn

📖 Implementation of DA-RNN (arXiv:1704.02971)

dabnn

dabnn is an accelerated binary neural networks inference framework for mobile platform

dali

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

dast

A novel data-free model stealing method based on GAN

dcgan-lsgan-wgan-gp-dragan-tensorflow-2

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

deepbayes

Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

deeplearning-models

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

deeplearningexamples

Deep Learning Examples

deepmath

Experiments towards neural network theorem proving

delving-deep-into-gans

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dfn

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

dmtk

Microsoft Distributed Machine Learning Toolkit

docs

TensorFlow documentation

dpsr

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

facedetection-dsfd

facekit

Implementations of PCN (an accurate real-time rotation-invariant face detector) and other face-related algorithms

factors-variation

Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprechmann and LeCun

federated

A framework for implementing federated learning