Alternatives and similar repositories for MLinPractice

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

• alan-turing-institute / mathematics-of-ml-course
  ☆42Updated 3 years ago
• dssg / mlforpublicpolicylab
  Repo for ML for Public Policy Lab course at CMU
  ☆113Updated last year
• anebz / resources
  Curated list of resources for various topics, articles, tutorials, etc I've found useful.
  ☆19Updated 2 years ago
• dssg / fairness_tutorial
  Hands-on tutorial on ML Fairness
  ☆72Updated last year
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆86Updated 6 years ago
• davidrosenberg / ttml2021fall
  DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)
  ☆46Updated last year
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆129Updated 2 years ago
• SummerSchoolMachineLearning / SMILES2020
  Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…
  ☆55Updated 4 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• cfgranda / math-tools-nyu
  DS-GA 1013 Mathematical Tools for Data Science
  ☆52Updated 4 years ago
• kushagra06 / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆121Updated 6 years ago
• marharyta-aleksandrova / conformal-learning
  Code related to different aspects of conformal learning
  ☆16Updated 4 months ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆177Updated 4 years ago
• uvadlc / uvadlc_practicals_2020
  ☆22Updated 4 years ago
• acmi-lab / cmu-10732-robustness-adaptivity-shift
  Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments
  ☆74Updated 2 years ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆171Updated last year
• ryantibs / statlearn-s23
  Course materials for Advanced Topics in Statistical Learning, Spring 2023
  ☆46Updated 3 weeks ago
• acecreamu / ai-residency
  Example of a Cover letter for AI Residency
  ☆80Updated 5 years ago
• leehanchung / cs182
  Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
  ☆85Updated 2 years ago
• Networks-Learning / counterfactual-llms
  Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.
  ☆26Updated 7 months ago
• dobriban / stat-ml-edu
  Resources for education in statistics and machine learning: from advanced undergraduate to research level
  ☆93Updated last year
• christinaheinze / causality-course-ethz
  Code used in the causality course (401-4632-15) at ETH Zurich.
  ☆22Updated 6 years ago
• dbamman / anlp21
  Data and code to support "Applied Natural Language Processing" (INFO 256, Fall 2021, UC Berkeley)
  ☆56Updated 3 years ago
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆44Updated 6 years ago
• jaryaman / causal-inference-cheat-sheet
  Summary of useful results in Causal Inference
  ☆20Updated 4 years ago
• csquires / 6.S091-causality
  ☆187Updated 2 years ago
• dobriban / Principles-of-AI-LLMs
  Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…
  ☆34Updated last week
• shiernee / Advanced_ML
  ☆79Updated 2 years ago
• resteorts / modern-bayes
  Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
  ☆74Updated 2 years ago
• niaohe / Big-Data-Optimization-Course
  Repository for my Big Data Optimization course
  ☆34Updated 4 years ago