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neotcr's Projects

alphafold_pytorch

An implementation of the DeepMind's AlphaFold based on PyTorch for research

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

cu-tsp

Implementation of Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations

deep-learning-for-contact_map_v2

Prediction of protein contact map

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

gnina

A deep learning framework for molecular docking

minifold

MiniFold: Deep Learning for Protein Structure Prediction inspired by DeepMind AlphaFold algorithm

moldqn-pytorch

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

neurips19-graph-protein-design

Generative Models for Graph-Based Protein Design

prospr

ProSPr: Protein Structure Prediction

prottrans

ProtTrans is providing state of the art pre-trained models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

provis

Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."

pytorchic-bert

Pytorch Implementation of Google BERT

raptorx-contact

Deep residual neural network for protein contact/distance prediction developed by Xu group

seqvec

Modelling the Language of Life - Deep Learning Protein Sequences

tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

tape-neurips2019

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)

torchproteinlibrary

PyTorch library of layers acting on protein representations

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