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Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/
Datasets for the paper "Adversarial Examples are not Bugs, They Are Features"
CVPR 2020 论文开源项目合集
cvpr2020/cvpr2019/cvpr2018/cvpr2017 papers,极市团队整理
📖 Implementation of DA-RNN (arXiv:1704.02971)
dabnn is an accelerated binary neural networks inference framework for mobile platform
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
A novel data-free model stealing method based on GAN
DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2
Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"
DeepFaceLab is the leading software for creating deepfakes.
A collection of various deep learning architectures, models, and tips
Deep Learning Examples
Experiments towards neural network theorem proving
A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
A Deep Learning based project for colorizing and restoring old images (and video!)
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Microsoft Distributed Machine Learning Toolkit
TensorFlow documentation
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Implementations of PCN (an accurate real-time rotation-invariant face detector) and other face-related algorithms
Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprechmann and LeCun
A framework for implementing federated learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.