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Name: adam wang
Type: User
Name: adam wang
Type: User
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
Background Matting: The World is Your Green Screen
Real-Time High-Resolution Background Matting
PCB of paper: Beyond Part Models: Person Retrieval with Refined Part Pooling, using Pytorch
A thin Cython wrapper around select areas of vlfeat
Python package built to ease deep learning on graph, on top of existing DL frameworks.
An implementation of a deep learning recommendation model (DLRM)
A PyTorch implementation of EfficientNet
A library for efficient similarity search and clustering of dense vectors.
Pretrained EfficientNet, MixNet, MobileNetV3, MNASNet A1 and B1, FBNet, Single-Path NAS
Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
libfaceid is a research framework for fast prototyping of face recognition solutions. It seamlessly integrates multiple face detection, face recognition and liveness detection models. It also includes face landmark detection, age detection, gender detection, emotion detection, wakeword/triggerword/hotword detection and text-to-speech synthesis for voice capability).
A state-of-the-art semi-supervised method for image recognition
Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019
Integrating MissingLink with PyTorch tutorial
Open MMLab Detection Toolbox with PyTorch
Open-source toolbox for visual fashion analysis based on PyTorch
MNN is a lightweight deep neural network inference engine.
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
Rank-1 89% (Single Query) on Market1501 with raw triplet loss, In Defense of the Triplet Loss for Person Re-Identification, using Pytorch
Codebase for Image Classification Research, written in PyTorch.
PyTorch implementations of Generative Adversarial Networks.
Skipgram Negative Sampling in PyTorch
Best Practices on Recommendation Systems
Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
Semantic Segmentation in Pytorch
Model Serving on PyTorch
Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)
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.