Alternatives and similar repositories for machine-learning-algorithm-implemention

Users that are interested in machine-learning-algorithm-implemention are comparing it to the libraries listed below

• buomsoo-kim / Tabular-RL-with-Python
  Tabular Reinforcement Learning Algorithms with NumPy & Visualizations with Seaborn
  ☆19Updated 7 years ago
• mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
  Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…
  ☆65Updated 7 months ago
• neurospin / pystatsml
  Statistics and Machine Learning in Python
  ☆70Updated 4 years ago
• ycrc / parallel_python
  Parallel Programming with Python Tutorial
  ☆37Updated last year
• MJeremy2017 / deep-learning
  Deep Learning Implementations
  ☆18Updated 4 years ago
• vaseline555 / Algorithms-for-Optimization-Python
  Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…
  ☆48Updated 2 years ago
• grasool / Gaussian-Processes
  Introduction to Gaussian Processes
  ☆29Updated 6 years ago
• caam37830 / book
  Course Reader based on Jupyter-Book
  ☆38Updated 2 years ago
• AlxndrMlk / talks-and-workshops
  Materials for conference talks and workshops
  ☆31Updated last month
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆87Updated 2 years ago
• ORF522 / companion
  Supporting material for Princeton ORF522
  ☆13Updated 6 months ago
• shiernee / Advanced_ML
  ☆79Updated 2 years ago
• fnauman / timeseries
  Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA
  ☆16Updated 3 years ago
• bhattbhavesh91 / auto-regressive-time-series-model
  Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python
  ☆15Updated 4 years ago
• sshkhr / Practical_RL
  My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow
  ☆54Updated 3 years ago
• APMLA-2021 / APMLA-WS_21-22_material
  ☆29Updated 3 years ago
• AllenDowney / BayesianInferencePyMC
  Workshop on Bayesian inference using PyMC
  ☆27Updated 3 years ago
• khanhnamle1994 / deep-reinforcement-learning
  Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
  ☆56Updated 6 years ago
• neonwatty / control-notes
  Notes on topics ranging from Recurrent Newtorks to Automatic Control and Reinforcement Learning
  ☆22Updated 6 months ago
• erfanMhi / Deep-Reinforcement-Learning-CS285-Pytorch
  Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…
  ☆138Updated 2 years ago
• VXU1230 / Medium-Tutorials
  ☆46Updated 2 years ago
• UCLAIS / neural-ode-tutorial
  Repository for tutorial on Neural ODEs prepared for the UCL AI Society
  ☆12Updated 4 years ago
• ivan-vasilev / Python-Deep-Learning-SE
  Code repository for Python Deep Learning Second Edition, published by Packt
  ☆41Updated 6 years ago
• DhruvPatel01 / coursera_pgm_python
  Python skeleton code for assignments of Probabilistic Graphical Models course on Coursera.
  ☆8Updated 3 years ago
• probml / bandits
  Bayesian Bandits
  ☆68Updated last year
• d9w / deep-learning-intro
  Introduction to Deep Learning
  ☆11Updated 4 years ago
• adithyaprem / Reinforcement-Learning-Specialization
  Reinforcement Learning Specialization on Coursera
  ☆9Updated 4 years ago
• ankonzoid / XY_universe
  A 2D Particle Survival Environment for Deep Reinforcement Learning
  ☆25Updated 5 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• NicolasDurrande / Gaussian-Processes-short-course
  ☆14Updated 7 years ago