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An Attention-Based User Behavior Modeling Framework for Recommendation
A curated list of long-tailed recognition resources.
The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020
[NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels
Template Matching with Deformable Diversity Similarity
Hands-on Deep Reinforcement Learning, published by Packt
A PyTorch implementation of the Deep SVDD anomaly detection method
repo that holds code for improving on dropout using Stochastic Delta Rule
PyTorch Distributed Tutorial
dnn to predict ctr
A memory-efficient implementation of DenseNets
A PyTorch implementation of EfficientNet
An implementation of EWC with PyTorch
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
:fire: 2D and 3D Face alignment library build using pytorch
Collective communications library with various primitives for multi-machine training.
Compiler for Neural Network hardware accelerators
A New Optimization Technique for Deep Neural Networks
50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
Image Denoising with Generative Adversarial Network
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Image augmentation for machine learning experiments.
Deep Learning for humans
Torch implementation of CVPR'17 - Local Binary Convolutional Neural Networks http://xujuefei.com/lbcnn.html
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
A challenge to explore adversarial robustness of neural networks on MNIST.
MUltiple VIdeos LABelling tool
An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"
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.