Alternatives and similar repositories for lectures2020:

Users that are interested in lectures2020 are comparing it to the libraries listed below

• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• gwgundersen / ml
  A didactic Python library with well-commented and annotated implementations of machine learning algorithms.
  ☆53Updated 4 years ago
• probml / probml-utils
  Utilities for probabilistic ML
  ☆34Updated last year
• RobertTLange / flexible-learning-group
  A curated list of papers presented in the 📖"Flexible Learning Reading Group" @ TU Berlin. Join us! 🤗
  ☆27Updated 4 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated last year
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆130Updated 4 years ago
• eigenfoo / tests-as-linear
  Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
  ☆91Updated 8 months ago
• slinderman / stats271sp2021
  Material for STATS271: Applied Bayesian Statistics (Spring 2021)
  ☆26Updated 3 years ago
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆109Updated last year
• aleatory-science / deep-probprog-course
  Deep Probabilistic Programming Course @ DIKU
  ☆57Updated 4 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
• munkai / pytorch-tutorial
  Deep learning and natural language processing tutorial in PyTorch
  ☆22Updated 7 years ago
• RL-VS / rlvs2021
  ☆17Updated 3 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆43Updated 4 years ago
• tensorchiefs / dl_course_2020
  The 2020 Version of the Deep Learning Course
  ☆8Updated 5 years ago
• mblondel / teaching
  ☆85Updated 4 years ago
• shiernee / Advanced_ML
  ☆78Updated 2 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆31Updated 4 years ago
• asuagar / statrethink-course-numpyro-2019
  Statistical Rethinking: A Bayesian Course Using Python and NumPyro
  ☆90Updated 4 years ago
• uu-sml / course-sml-public
  Course material for 1RT700 Statistical Machine Learning
  ☆62Updated 2 months ago
• mdeff / ntds_2019
  Material for the EPFL master course "A Network Tour of Data Science", edition 2019.
  ☆68Updated 5 years ago
• neurospin / pystatsml
  Statistics and Machine Learning in Python
  ☆69Updated 4 years ago
• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆48Updated 3 years ago
• dlvu / vugrad
  Yet another mini autodiff system for educational purposes
  ☆30Updated 5 months ago
• 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
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• shreyashankar / debugging-ml-talk
  Code accompanying the "Debugging machine learning in production" talk
  ☆29Updated 3 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆99Updated last year