qshao's repositories

ArchR

ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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awesome-graph-transformer

Papers about graph transformers.

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Awesome-SBDD

Papers about Structure-based Drug Design (SBDD)

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ColossalAI

Colossal-AI: A Unified Deep Learning System for Big Model Era

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d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

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ddim

Denoising Diffusion Implicit Models

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dpm-solver

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

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DynamicBind

repo for DynamicBind: Predicting ligand-specific protein-ligand complex structure with a deep equivariant generative model

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DynamO

An event-driven particle simulator and visualisation code. Please see the website below for more information.

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GNN_IAC

This repository contains the training routines and the experiments presented in the paper "Graph Neural Networks for the prediction of infinite dilution activity coefficients"

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gromacs

Public/backup repository of the gromacs molecular simulation toolkit

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learning3d

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

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Machine-learning-for-proteins

Listing of papers about machine learning for proteins.

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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NeuralPLexer

NeuralPLexer: State-specific protein-ligand complex structure prediction with a multi-scale deep generative model

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OLMo

Modeling, training, eval, and inference code for OLMo

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openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

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openmm

OpenMM is a toolkit for molecular simulation using high performance GPU code.

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papers_for_protein_design_using_DL

List of papers about Proteins Design using Deep Learning

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plumed2

Development version of plumed 2

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S-PLM

S-PLM: Structure-aware Protein Language Model via Contrastive Learning between Sequence and Structure

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stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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TankBind

Open source code for TankBind. Galixir Tenchnologies

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Transformer-Explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

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