Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
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Updated
Sep 9, 2024 - Python
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Explainability of Deep RL algorithms using graph networks and layer-wise relevance propagation.
1.The polymer-units(repeating units) are identified from the SMILES code of the polymer
Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
Repository about the homeworks in the course of Network dynamics and learning at PoliTo a.a. 23/24
Graph Network for protein-protein interface including language model features
Graph Network for protein-protein interface
TypeDB-ML is the Machine Learning integrations library for TypeDB
Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.
[NeurIPS 2023] Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
Teste de hipótese a respeito do ENEM utilizando teoria de grafos. Feito como projeto final para a disciplina Redes Sociais, do 6° Semestre de Engenharia da Computação do Insper.
In-progress. Simple book recommender. Uses graph networks.
Analysis of Git repos downloaded from Github
Solving the travelling salesman problem (TSP) with simulated annealing (SA)
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
Repository about the projects in the course of network dynamics and learning at PoliTo
Build Graph Nets in Tensorflow
Implements a disparity filter in Python, based on graphs in NetworkX, to extract the multiscale backbone of a complex weighted network (Serrano, et al., 2009)
Going through exercises for CS224W: Deep Learning for Graphs https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn
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