chao1224 Goto Github PK
Name: Shengchao Liu
Type: User
Company: UC Berkeley & Caltech
Bio: Postdoc @ UC-Berkeley & Caltech
Twitter: Shengchao_Liu
Location: Berkeley, CA, USA
Blog: chao1224.github.io
Name: Shengchao Liu
Type: User
Company: UC Berkeley & Caltech
Bio: Postdoc @ UC-Berkeley & Caltech
Twitter: Shengchao_Liu
Location: Berkeley, CA, USA
Blog: chao1224.github.io
distributed TensorFlow deep nets
A memory-efficient implementation of DenseNets
Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Platform to host Capture the Flag competitions
starter from "How to Train a GAN?" at NIPS2016
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Topic Modelling for Humans
GeoSSL: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching, ICLR'23 (https://openreview.net/forum?id=CjTHVo1dvR)
Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".
This is all about the ACM/ICPC programs on HUD.
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
My personal website
Jason Ansel's personal website
This is the code associated to the 2015 submission to JSTSP
All about Kaggle
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
Autoencoder network for learning a continuous representation of molecular structures.
Deep Reinforcement Learning for Keras.
Source code for "A Deep-learning System Bridging Molecule Structure and Biomedical Text with Comprehension Comparable to Human Professionals"
Lightweight library to build and train neural networks in Theano
Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19
Large-scale comparison of machine learning methods for drug target prediction on ChEMBL
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.