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alphafold

Open source code for AlphaFold.

alphafold1

This repository contains implementations and illustrative code to accompany DeepMind publications

alphafold_pytorch

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

alphafoldv1

cmpnn

The official implementation of "A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs" (NeurIPS 2023)

cntk

Convolutional Neural Tangent Kernel

compgcn_neptune

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

cu-tsp

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

deep_learning_theory_tutorial

For understanding Neural Tangent Kernel

gnn-qe

Official implementation of Graph Neural Network Query Executor (ICML 2022)

hxyscotthuang.github.io

knowledgegraphembedding

mwp-cl

nbfnet-attention

nodepiece

Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)

practical

protein_folding

proteinnet

Standardized data set for machine learning of protein structure

quality-controlled-paraphrase-generation

Quality Controlled Paraphrase Generation (ACL 2022)

rgcn_neptune

Added Neptune support and change WN18 to WN18RR

the-algorithm

Source code for Twitter's Recommendation Algorithm

yolov5-pip

Packaged version of ultralytics/yolov5