jasonzdeng Goto Github PK

2018-cs109a

2018spring

ai-art

PyTorch (and PyTorch Lightning) implementation of Neural Style Transfer, Pix2Pix, CycleGAN, and Deep Dream!

am207_nngp

AM-207 paper project

ampl

The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.

arrows

JavaScript library for drawing diagrams of small graphs, using D3 to generate SVG. Useful for explaining Neo4j graph modelling concepts in presentations and blogs.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

basic-multi-task-learning

This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

chemprop

Message Passing Neural Networks for Molecule Property Prediction

cheto

CheTo - Chemical Topic Modeling

cookiecutter-conda-python

A cookiecutter template for conda packages using Python

cookiecutter-pypackage

Cookiecutter template for a Python package.

deldenoiser

Remove effects of truncated side-products from read count data of a DNA-encoded library.

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

diffdock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

dvc

🦉Data Version Control | Git for Data & Models

fast-style-transfer

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

fastmbar

A fast solver for large scale MBAR/UWHAM equations

geneticalgorithm

tuto and experiment with genetic algorithms.

gnina

A deep learning framework for molecular docking

gsk-cdws-training

GSK CDWS Training

hello-world

hello-github

hello-world-2

hello-desktop

icml18-jtnn

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

knn-ad

Tropsha's kNN Applicability Domain

labs

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.