AttentiveNader

AttentiveNader's Stars

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.7k2543.6k3.7k

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.9k2824303

• facebookresearch/higher

  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

  Language:Python1.6k28108124

• CuriousAI/mean-teacher

  A state-of-the-art semi-supervised method for image recognition

  Language:Python1.6k5759337

• DeepGraphLearning/torchdrug

  A powerful and flexible machine learning platform for drug discovery

  Language:Python1.5k29225201

• atong01/conditional-flow-matching

  TorchCFM: a Conditional Flow Matching library

  Language:Python1.4k1859118

• dauparas/ProteinMPNN

  Code for the ProteinMPNN paper

  Language:Jupyter Notebook1.1k2496319

• a-r-j/graphein

  Protein Graph Library

  Language:Jupyter Notebook1.1k18156132

• arvkevi/kneed

  Knee point detection in Python :chart_with_upwards_trend:

  Language:Python745116075

• lucidrains/ema-pytorch

  A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model

  Language:Python54541834

• danieltan07/learning-to-reweight-examples

  PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

  Language:Jupyter Notebook353122160

• TorchSpatiotemporal/tsl

  tsl: a PyTorch library for processing spatiotemporal data.

  Language:Python286104028

• DeepGraphLearning/GearNet

  GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)

  Language:Python279106630

• hetio/hetionet

  Hetionet: an integrative network of disease

  Language:HTML270154769

• uber-research/learning-to-reweight-examples

  Code for paper "Learning to Reweight Examples for Robust Deep Learning"

  Language:Python269101252

• OATML-Markslab/ProteinGym

  Official repository for the ProteinGym benchmarks

  Language:HTML25664430

• chrsmrrs/k-gnn

  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

  Language:C++18442245

• Kuhlman-Lab/ThermoMPNN

  GNN trained to predict changes in thermodynamic stability for protein point mutants

  Language:Python13302322

• chrhenning/hypnettorch

  Package for working with hypernetworks in PyTorch.

  Language:Python1212714

• MachineLearningLifeScience/meaningful-protein-representations

  Language:Jupyter Notebook106247

• causalNLP/cladder

  We develop benchmarks and analysis tools to evaluate the causal reasoning abilities of LLMs.

  Language:Python1053618

• BorgwardtLab/proteinshake

  Protein structure datasets for machine learning.

  Language:Python104519510

• OATML-Markslab/ProteinNPT

  Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"

  Language:Python921209

• brandontrabucco/design-bench

  Benchmarks for Model-Based Optimization

  Language:Python8451919

• yobibyte/ml-drug-discovery-tldrs

  TLDRs for ML in Drug Discovery papers

  71605

• ml-jku/hyper-dti

  HyperPCM: Robust task-conditioned modeling of drug-target interactions

  Language:Python36805

• LSSI-ETH/meta-learning-for-protein-engineering

  Meta learning addresses noisy and under-labeled data in machine learning-guided antibody engineering (https://doi.org/10.1016/j.cels.2023.12.003)

  Language:Python20103

• BorgwardtLab/fisher_information_embedding

  Official code for Fisher information embedding for node and graph learning (ICML 2023)

  Language:Python18400

• tung-nd/ExPT

  Language:Python15101

• JiyangZhang/learning-to-reweight-in-relation-extraion

  Language:Python3200