Alternatives and similar repositories for MachineLearning

Users that are interested in MachineLearning are comparing it to the libraries listed below

• jertubiana / PGM
  Probabilistic Graphical Models in Python3.
  ☆25Updated 8 months ago
• googleinterns / protein-embedding-retrieval
  ☆34Updated 5 years ago
• deepchem / jaxchem
  JAXChem is a JAX-based deep learning library for complex and versatile chemical modeling
  ☆81Updated 5 years ago
• distillpub / post--bayesian-optimization
  Exploring Bayesian Optimization
  ☆76Updated 4 years ago
• kozodoi / BMS_Molecular_Translation
  Image-to-text translation of chemical molecule structures with deep learning (top-5% Kaggle solution)
  ☆14Updated 3 years ago
• mitmedialab / Evolutron
  A mini-framework to build and train neural networks for molecular biology.
  ☆10Updated 7 years ago
• stellargraph / stellar-practical-ml-on-graphs
  Course titled Practical Machine Learning on Graphs
  ☆45Updated 5 years ago
• munkai / pytorch-tutorial
  Deep learning and natural language processing tutorial in PyTorch
  ☆23Updated 7 years ago
• insilicomedicine / DD-VAE
  Deterministic Decoding for Discrete Data in Variational Autoencoders
  ☆24Updated 5 years ago
• kexinhuang12345 / DrugDataResource
  Datasets for Drug Discovery and Development
  ☆10Updated 5 years ago
• lawrennd / old_talks
  Talks from Neil Lawrence
  ☆54Updated 2 years ago
• epfml / opt-shortcourse
  Short Course on Optimization for Machine Learning - Slides and Practical Lab - Pre-doc Summer School on Learning Systems, July 3 to 7, 20…
  ☆18Updated 8 years ago
• yobibyte / ml-drug-discovery-tldrs
  TLDRs for ML in Drug Discovery papers
  ☆71Updated 2 years ago
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆33Updated 5 years ago
• deepchem / torchchem
  An experimental repo for experimenting with PyTorch models
  ☆37Updated 2 years ago
• FausticSun / DeepPL
  Predicting Protein – Ligand Interaction by using Deep Learning Models
  ☆11Updated 7 years ago
• bhi-kimlab / DeepFam
  Deep learning based alignment-free method for protein family modeling and prediction
  ☆16Updated 7 years ago
• songlab-cal / factored-attention
  This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …
  ☆59Updated 3 years ago
• ml-jku / sars-cov-inhibitors-chemai
  Large-scale ligand-based virtual screening for potential SARS-Cov-2 inhibitors using a deep neural network
  ☆52Updated 5 years ago
• BojarLab / SweetNet
  Graph convolutional neural networks for analyzing glycans [LEGACY; use glycowork implementation]
  ☆17Updated 4 years ago
• aws-samples / amazon-sagemaker-protein-classification
  Implementation of Protein Classification based on subcellular localization using ProtBert(Rostlab/prot_bert_bfd_localization) model from …
  ☆42Updated last year
• pfnet-research / hierarchical-molecular-learning
  Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)
  ☆14Updated 7 years ago
• ttchengab / VAE
  ☆12Updated 3 years ago
• chennnnnyize-zz / Generative-Molecules
  ☆31Updated 7 years ago
• danielkunin / neural-mechanics
  ☆19Updated 4 years ago
• ml-jku / DeepRC
  DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning
  ☆125Updated 2 years ago
• aqlaboratory / pnerf
  ☆36Updated 6 years ago
• microsoft / protein-uq
  Benchmarking uncertainty quantification methods on proteins.
  ☆21Updated last year
• mdeff / ntds_2019
  Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
  ☆69Updated 6 years ago
• aliabbas101 / WennovationAcademy
  ☆10Updated 5 years ago