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Shengchao Liu's Projects

einops icon einops

Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fbctf icon fbctf

Platform to host Capture the Flag competitions

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

gat icon gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

geossl icon geossl

GeoSSL: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching, ICLR'23 (https://openreview.net/forum?id=CjTHVo1dvR)

grammarvae icon grammarvae

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

graphmvp icon graphmvp

Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)

graphormer icon graphormer

This is the official implementation for "Do Transformers Really Perform Bad for Graph Representation?".

hdu icon hdu

This is all about the ACM/ICPC programs on HUD.

imagenet icon imagenet

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

jstsp2015 icon jstsp2015

This is the code associated to the 2015 submission to JSTSP

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

keras-molecules icon keras-molecules

Autoencoder network for learning a continuous representation of molecular structures.

kv-plm icon kv-plm

Source code for "A Deep-learning System Bridging Molecule Structure and Biomedical Text with Comprehension Comparable to Human Professionals"

lasagne icon lasagne

Lightweight library to build and train neural networks in Theano

lsc icon lsc

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL

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