Alternatives and similar repositories for working-women

Users that are interested in working-women are comparing it to the libraries listed below

• satwik77 / libnmf
  Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)
  ☆33Updated 6 years ago
• CharlotteMagister / GCExplainer
  ☆18Updated last year
• nikikilbertus / fairensics
  A python library to discover and mitigate biases in machine learning models and datasets
  ☆20Updated last year
• fabriziocosta / GraphLearn
  Learn how to construct graphs given representative examples
  ☆13Updated 3 years ago
• jacobdeasy / geometric-js
  ☆16Updated 4 years ago
• bioinfocao / pysapc
  python package for Sparse Affinity Propagation (SAP) Clustering method
  ☆16Updated 4 years ago
• samiraabnar / Reflect
  Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"
  ☆14Updated 5 years ago
• tansey / sdp
  Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning
  ☆15Updated 8 years ago
• BorgwardtLab / ggme
  Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…
  ☆14Updated 2 years ago
• xypan1232 / iDeepV
  iDeepV: predicting RBP binding sites using vector representation learned from sequences with a CNN.
  ☆10Updated 5 years ago
• davidhallac / NetworkLasso
  ☆22Updated 10 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆32Updated 4 years ago
• pfnet-research / BMI219-2017-ProteinFolding
  UCSF BMI219 Deep Learning (2017), Coding example (Prediction of protein folding with RNN and CNN)
  ☆16Updated 8 years ago
• mkocaoglu / Entropic-Causality
  ☆10Updated 8 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• BorgwardtLab / WTK
  A Wasserstein Subsequence Kernel for Time Series.
  ☆21Updated 11 months ago
• G-Taxonomy-Workgroup / GTaxoGym
  Taxonomy of Benchmarks in Graph Representation Learning
  ☆19Updated 2 years ago
• franrole / cclust_package
  ☆33Updated 4 years ago
• fhuszar / thesis
  my PhD thesis on Bayesian inference
  ☆27Updated 11 years ago
• chyikwei / bnp
  Bayesian nonparametric models for python
  ☆18Updated 6 years ago
• rdipietro / mist-rnns
  Mixed History Recurrent Neural Networks
  ☆47Updated 7 years ago
• leoguti85 / GraphEmbs
  Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification
  ☆17Updated 5 years ago
• borchero / pyblaze
  Large-Scale Machine and Deep Learning in PyTorch.
  ☆21Updated 3 years ago
• Murali-group / halp
  Hypergraph Algorithms Package
  ☆98Updated last year
• ralphhaygood / sklearn-gbmi
  scikit-learn gradient-boosting-model interactions
  ☆25Updated 2 years ago
• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆19Updated 5 years ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 years ago
• leichen2018 / Ring-GNN
  ☆12Updated 5 years ago
• crisbodnar / regularised-spectral-clustering
  Python code for reproducing the results of Understanding Regularized Spectral Clustering via Graph Conductance
  ☆14Updated 5 years ago