Alternatives and similar repositories for DeepMood

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

• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• NicolasHug / hmmkay
  Discrete Hidden Markov Models with Numba
  ☆12Updated 3 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆32Updated 4 years ago
• jakirkham / dask-distance
  Distance computations with Dask (akin to scipy.spatial.distance)
  ☆8Updated 7 years ago
• nickfrosst / neural_additive_models
  stand alone Neural Additive Models, forked from google-reasearch for easy import to colab
  ☆28Updated 4 years ago
• AlexIoannides / llm-regression
  Exploring the classical regression capabilities of LLMs.
  ☆18Updated last year
• iarai / science4cast
  Details for the Science4Cast competition
  ☆62Updated 2 years ago
• dionhaefner / bayesian-histograms
  Bayesian histograms for estimation of binary rare event rates, with fully automated bin pruning
  ☆28Updated 3 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆43Updated 4 years ago
• ryanholbrook / critical-transitions
  Detecting critical transitions in financial networks with topological data analysis.
  ☆16Updated 6 years ago
• rpatrik96 / nl-causal-representations
  This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…
  ☆18Updated 9 months ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆42Updated 6 years ago
• ColCarroll / ppl-api
  A comparison of PPL APIs
  ☆27Updated 5 years ago
• jpmorganchase / cf-shap
  Counterfactual SHAP: a framework for counterfactual feature importance
  ☆20Updated last year
• plaut / linear-ae-pca
  Principal component analysis using a linear autoencoder
  ☆16Updated 6 years ago
• pierresegonne / VINF
  Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
  ☆25Updated 4 years ago
• plai-group / covid
  Modelling epidemiological dynamics and performing inference in these models
  ☆27Updated 3 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆61Updated 7 years ago
• wesselb / mlkernels
  Kernels, the machine learning ones
  ☆14Updated 2 years ago
• pyro-ppl / pyro-models
  Repository of models in Pyro
  ☆29Updated 10 months ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆77Updated last year
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆84Updated this week
• josemiotto / pylevy
  Levy distributions for Python
  ☆36Updated last year
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated 2 years ago
• ksanjeevan / mapper-tda
  Mapper implementation (Topological Data Analysis) in Python
  ☆65Updated 6 years ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 4 years ago
• udellgroup / pyglrm
  The Python wrapper for LowRankModels.jl.
  ☆15Updated 5 years ago
• sergio-hcsoft / FractalAI
  Cellular automaton-based calculus for the masses
  ☆24Updated 6 years ago
• kachayev / dataclasses-tensor
  Easily serialize dataclasses to and from tensors (PyTorch, NumPy)
  ☆18Updated 4 years ago