davidsoong Goto Github PK
Name: David Soong
Type: User
Bio: Data science, AI/ML, computational biology, cancer genomics, immunotherapy, drug development, future tech.
Location: USA
Name: David Soong
Type: User
Bio: Data science, AI/ML, computational biology, cancer genomics, immunotherapy, drug development, future tech.
Location: USA
A curated list of awesome self-supervised methods
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
Detect location and draw boundary of nuclei from microscopic images
Library for converting clinical trial eligibility criteria to a machine-readable format.
Contrastive Language-Image Pretraining
COCO API - Dataset @ http://cocodataset.org/
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
An ongoing repository of data on coronavirus cases and deaths in the U.S.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Use this to download all elements of the dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083
Open-AI's DALL-E for large scale training in mesh-tensorflow.
Config files for my GitHub profile.
Classification of Lung cancer slide images using deep-learning
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
Code for the paper "Language Models are Unsupervised Multitask Learners"
An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.
A Python toolkit for pathology image analysis algorithms.
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
A library for transfer learning by reusing parts of TensorFlow models.
Code release for NeRF (Neural Radiance Fields)
A collaboration friendly studio for NeRFs
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Efficient Image Captioning code in Torch, runs on GPU
TensorFlow Neural Machine Translation Tutorial
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
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.