Alternatives and similar repositories for Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

Users that are interested in Probabilistic-Programming-and-Bayesian-Methods-for-Hackers are comparing it to the libraries listed below

• cosmic-cortex / neural-networks-from-scratch
  An implementation of convolutional networks in NumPy!
  ☆83Updated 4 years ago
• teoliphant / Python-for-Signal-Processing
  Notebooks for "Python for Signal Processing" book
  ☆11Updated 10 years ago
• ssanderson / foundations-of-numerical-computing
  Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"
  ☆82Updated 3 years ago
• j-cunanan / MLT-contributions
  ☆22Updated 5 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• elybrand / quantized_neural_networks
  Python code (packaged in Docker container) to run the experiments in "A Greedy Algorithm for Quantizing Neural Networks" by Eric Lybrand …
  ☆20Updated 4 years ago
• glouppe / info8004-advanced-machine-learning
  Lectures for INFO8004 Advanced Machine Learning, ULiège
  ☆116Updated 10 months ago
• eriklindernoren / NapkinML
  A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
  ☆569Updated 2 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆280Updated 7 years ago
• DebPanigrahi / Machine-Learning
  Machine learning algorithms
  ☆113Updated 6 years ago
• alokwhitewolf / Reinforcement-Learning
  Implementation of various Reinforcement Learning Algorithms
  ☆27Updated 8 years ago
• cjratcliff / ml-compiled
  Quick definitions and intuitive explanations around machine learning.
  ☆38Updated last month
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 6 years ago
• abidlabs / AtomsOfDeepLearning
  Simple Experiments to Give Some Intuition behind Deep Neural Networks
  ☆38Updated 7 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• ritchie46 / vanilla-machine-learning
  vanilla machine learning
  ☆112Updated 2 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• grananqvist / NALU-tf
  Tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al.
  ☆29Updated 7 years ago
• vinayprabhu / Network_Science_Meets_Deep_Learning
  Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
  ☆91Updated 6 years ago
• omarsar / deep_learning_notations
  Contains useful deep learning notations for writing blogs, presentations, and papers.
  ☆47Updated 6 years ago
• Tgaaly / pytorch-cheatsheet
  Pytorch Cheatsheet
  ☆91Updated 7 years ago
• Guillemdb / FractalAI
  Celular automaton-based calculus for the masses
  ☆111Updated 5 years ago
• physhik / Study-of-David-Mackay-s-book-
  David Mackay's book review and problem solvings and own python codes, mathematica files
  ☆58Updated 8 years ago
• llSourcell / quantum_machine_learning_LIVE
  This is the code for "Quantum Machine Learning LIVE" By Siraj Raval on Youtube
  ☆82Updated 7 years ago
• nitbix / toupee
  A library for Deep Learning Ensembles
  ☆27Updated last week
• parrt / ml-articles
  Articles on machine learning
  ☆66Updated 3 years ago
• ameya98 / GeneticAlgorithmsRepo
  Genetic algorithm packages for optimization in Python.
  ☆80Updated 7 years ago
• mcleonard / xaby
  Functional machine learning for fun
  ☆85Updated 4 years ago
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆242Updated 3 years ago
• abursuc / dldiy-practicals
  Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS
  ☆22Updated 5 years ago