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Name: Guanxdazhuang
Type: User
Name: Guanxdazhuang
Type: User
Implement of An Imperceptible Data Augmentation Based Blackbox Clean-Label Backdoor Attack on Deep Neural Networks
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Implementation of Axial attention - attending to multi-dimensional data efficiently
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Implement of Backdoor Attack on Deep Learning-Based Medical Image Encryption and Decryption Network
BERT and ResNet50
Efficient GPU kernels for block-sparse matrix multiplication and convolution
10x faster matrix and vector operations.
Universal Detection of Backdoor Attacks via Density-based Clustering and Centroids Analysis
High efficient and fast 2D bin packing tool
Revisiting the Assumption of Latent Separability for Backdoor Defenses
Classification models trained on ImageNet. Keras.
:notebook:Solutions to Introduction to Algorithms
Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"
A harness for building the bundled suite of interoperable optimization tools available in the COIN-OR repository.
Computation and Data Efficient Backdoor Attacks
⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]
Dynamic channel allocation in cellular networks by reinforcement learning
deep learning implement for modulation classification ,codes for paper <Deep Architectures for Modulation Recognition>
Deep Compression on AlexNet
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
code for Deep Neural Network Architectures for Modulation Classification
PyTorch implementations of deep reinforcement learning algorithms and environments
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Restoration for TEMPEST images using deep-learning
Caffe for Deep Compression
It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep gradient compression is a technique by which the gradients are compressed before they are being sent. This approach greatly reduces the communication bandwidth and thus improves multi node training.
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.