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astir | Automated cell identity from single-cell multiplexed imaging and proteomics 🖥🔬✨
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
Companion repository for the paper 'Compensation of signal spillover in suspension and imaging mass cytometry'
Example projects I completed to understand Deep Learning techniques with Tensorflow.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units (KDD 2020)
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
This repository hosts an R based workflow to perform downstream analysis of IMC data.
A pixel classification based multiplexed image segmentation pipeline
A collection of machine learning examples and tutorials.
Python Implementations of Monte Carlo Tree Search
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
PyTorch implementations of Generative Adversarial Networks.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Use TensorFlow from QuPath
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
A library for generalized sequence to sequence models
Tutorials for creating figures, tables, or other content for AAS Journals.
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.