deepblastNeural Networks for Protein Sequence Alignment
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Mutual labels: protein, protein-sequences
gcWGANGuided Conditional Wasserstein GAN for De Novo Protein Design
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Mutual labels: protein, protein-design
lightdockProtein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm
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Mutual labels: protein, protein-design
tape-neurips2019Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology. (DEPRECATED)
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Mutual labels: protein-sequences
RamaNetPreforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure
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Mutual labels: protein-design
reprieveA library for evaluating representations.
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Mutual labels: representation-learning
pair2vecpair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
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Mutual labels: representation-learning
PCC-pytorchA pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"
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Mutual labels: representation-learning
ParametricUMAP paperParametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).
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Mutual labels: representation-learning
REGALRepresentation learning-based graph alignment based on implicit matrix factorization and structural embeddings
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Mutual labels: representation-learning
MTL-AQAWhat and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]
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Mutual labels: representation-learning
cgdmsDifferentiable molecular simulation of proteins with a coarse-grained potential
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Mutual labels: protein
GLOM-TensorFlowAn attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data
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Mutual labels: representation-learning
Learning-From-RulesImplementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)
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Mutual labels: representation-learning
pia📚 🔬 PIA - Protein Inference Algorithms
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Mutual labels: protein
FUSIONPyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"
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Mutual labels: representation-learning
TCEThis repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
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Mutual labels: representation-learning
causal-mlMust-read papers and resources related to causal inference and machine (deep) learning
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Mutual labels: representation-learning
EVEOfficial repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.
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Mutual labels: protein
M-NMFAn implementation of "Community Preserving Network Embedding" (AAAI 2017)
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Mutual labels: representation-learning