Alternatives and similar repositories for probml-data:

Users that are interested in probml-data are comparing it to the libraries listed below

• probml / probml-utils
  Utilities for probabilistic ML
  ☆33Updated last year
• uvadlc / uvadlc_practicals_2021
  Repository for the code assignment of the Deep Learning 1 course, Fall 2021 edition
  ☆10Updated 2 years ago
• random-matrix-learning / slides
  LaTeX source code for the slides
  ☆23Updated 3 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 4 years ago
• deepcharles / tutorials-mva-2022
  Tutorials for the Machine Learning for Time Series class - Master MVA (2021/2022)
  ☆10Updated 2 years ago
• icme / cme258
  Libraries for Scientific Computing
  ☆10Updated 5 years ago
• akash-agni / ReadThePaper
  This repo will be an effort to learn and implement some of the milestone papers and models in Deep Learning based language models.
  ☆11Updated 2 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• sdicastro / KOVA
  Kalman Optimization for Value Approximation
  ☆10Updated 5 years ago
• sscardapane / hydra-tutorial
  Companion code for a tutorial on using Hydra.
  ☆29Updated 3 years ago
• QuantEcon / lecture-jax
  Lectures on Quantitative Economics Using JAX
  ☆32Updated this week
• scikit-learn / blog
  Hosting the scikit-learn blog.
  ☆16Updated this week
• remilepriol / causal-adaptation-speed
  Investigate the speed of adaptation of structural causal models
  ☆16Updated 4 years ago
• SciEcon / SRS2021
  A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics
  ☆15Updated 2 years ago
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆24Updated 4 months ago
• rrtucci / JudeasRx
  python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.
  ☆24Updated 2 years ago
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• darrenjw / smfsb
  Documentation, models and code relating to the 3rd edition of the textbook Stochastic Modelling for Systems Biology
  ☆32Updated 2 weeks ago
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 2 years ago
• albahnsen / AdvancedMethodsDataAnalysisClass
  ☆17Updated 4 years ago
• probml / JSL
  Jax SSM Library
  ☆49Updated 2 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 4 years ago
• anebz / resources
  Curated list of resources for various topics, articles, tutorials, etc I've found useful.
  ☆19Updated 2 years ago
• OATML / ucate
  Uncertainty in Conditional Average Treatment Effect Estimation
  ☆29Updated 3 years ago
• mhlr / awesome-jax
  List of awesome JAX resources
  ☆13Updated 2 years ago
• sayakpaul / Adversarial-Examples-in-Deep-Learning
  Shows how to create basic image adversaries, and train adversarially robust image classifiers (to some extent).
  ☆13Updated 4 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• gauravdhama / eigengame_deepmind
  A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium
  ☆21Updated 3 years ago
• pitmonticone / pitmonticone
  Profile repository of Pietro Monticone.
  ☆11Updated this week