Alternatives and similar repositories for sslap

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

• uncommoncode / morse_smale
  Python tools for Morse Smale Complex analysis and visualization
  ☆10Updated 3 years ago
• raamana / kernelmethods
  Foundational library for Kernel methods in pattern analysis and machine learning
  ☆42Updated 2 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• vikashg / Geometry-Reading-list
  A curated list of reading material and lecture notes for all things geometry. Mostly focussed on differential and Riemannian geometry wit…
  ☆19Updated 7 years ago
• samihaija / tf-fsvd
  Functional TensorFlow Implementation of Singular Value Decomposition for paper Fast Graph Learning
  ☆13Updated 4 years ago
• kalemaria / pycurv
  Reliable estimation of membrane curvature for cryo-electron tomography
  ☆20Updated 3 months ago
• geomstats / applications
  Examples of more involved applications using Geomstats
  ☆32Updated 4 years ago
• anonymous-code-0 / lie-transformer
  Authors implementation of LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆36Updated 4 years ago
• jiwoongim / ft-SNE
  f-divergence based t-SNE
  ☆16Updated 2 years ago
• raymond-yiqunwang / deepKNet
  PointNet-based 3D deep learning model designed for decoding the structure-property relationship for generic crystalline materials.
  ☆10Updated 3 years ago
• brennanaba / AbData
  ☆10Updated 3 years ago
• HBKUVisCommunity / inshade
  ☆12Updated 4 years ago
• JAVI897 / Laplacian-Eigenmaps
  Implemented Laplacian Eigenmaps
  ☆19Updated 3 years ago
• lucidrains / geometric-vector-perceptron
  Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…
  ☆74Updated 4 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• Pacmed / ehr_ood_detection
  Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
  ☆21Updated 4 years ago
• delta2323 / GB-GNN
  Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
  ☆13Updated 5 years ago
• ngruver / lie-deriv
  ☆38Updated 2 years ago
• HanchenXiong / deep-tsne-embedding
  Deep learning of an embedding mapping using t-SNE as a loss function on top of a 3-hidden-layer neural network. Use pytorch !
  ☆20Updated 7 years ago
• google-deepmind / understanding_deep_generative_models_with_generalized_empirical_likelihood
  ☆34Updated last year
• facebookresearch / DeepConvexity
  Easing non-convex optimization with neural networks.
  ☆23Updated 6 years ago
• alan-turing-institute / grace
  Graph Representation Analysis for Connected Embeddings
  ☆34Updated 8 months ago
• bartwojcik / lossgrad
  Implementation of the LOSSGRAD optimization algorithm
  ☆15Updated 6 years ago
• jacobdeasy / geometric-js
  ☆16Updated 4 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆49Updated 3 years ago
• AnirudhDagar / MessagePassing_for_GNNs
  Experiments with Message Passing GNNs in C++ and PyTorch.
  ☆26Updated 11 months ago
• chiggum / pyLDLE2
  Implementation of Low Distortion Local Eigenmaps and several variations of it
  ☆18Updated 7 months ago
• jg-you / dyvider
  Dynamic programming algorithms for exact linear clustering in networks.
  ☆16Updated last year
• googleinterns / protein-embedding-retrieval
  ☆34Updated 4 years ago
• G-Taxonomy-Workgroup / GTaxoGym
  Taxonomy of Benchmarks in Graph Representation Learning
  ☆19Updated 2 years ago