Alternatives and similar repositories for pr-python-tutorial

Users that are interested in pr-python-tutorial are comparing it to the libraries listed below

• sjchoi86 / intro-to-linear-algebra
  ☆14Updated 2 years ago
• sjchoi86 / density_network
  Density Network Implementations using TensorFlow
  ☆27Updated 6 years ago
• changwookjun / CS20
  CS20 (Tensorflow) 정리
  ☆13Updated 6 years ago
• yhgon / KR_AICONF
  ☆12Updated 2 years ago
• lightaime / cs294
  Berkeley Deep Reinforcement Learning cs294 solution
  ☆12Updated 7 years ago
• taki0112 / diffusion-pytorch
  이화여대 강의자료
  ☆28Updated last year
• tuanavu / deep-learning-a-z
  ☆11Updated 6 years ago
• EisenIn / Algebre-Lineaire-2
  Course Material for my course Linear Algebra 2 (in french)
  ☆12Updated last month
• sjchoi86 / yet-another-rl-tutorial
  ☆60Updated last year
• khanhnamle1994 / deep-reinforcement-learning
  Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning
  ☆56Updated 6 years ago
• sjchoi86 / yet-another-pytorch-tutorial
  Yet Another PyTorch Tutorial
  ☆11Updated 4 years ago
• yunjey / cs224d
  stanford cs224d 2016 assignment
  ☆19Updated 8 years ago
• shinseung428 / image_control_TF
  ☆13Updated 7 years ago
• taivop / eth-ml
  Machine Learning
  ☆11Updated 9 years ago
• kaist-comet / LaTeX-Paper-Guide
  A LaTeX template / tutorial
  ☆191Updated 10 months ago
• kukuruza / TF-Visualize-CNN
  Find strongest response of convolutional layers on an image dataset. Automatically compute receptive field for any CNN layer.
  ☆14Updated 4 years ago
• sjchoi86 / deep-uncertainty
  Modeling uncertainty information in deep learning
  ☆22Updated 7 years ago
• vineetm / ell-881-2018-deep-learning
  Course Materials for ELL 881 2018: Fundamentals of Deep Learning
  ☆9Updated 6 years ago
• StephaneCanu / Deep_learning_lecture
  Deep learning lecture
  ☆12Updated 4 years ago
• stephenbeckr / time-series-class
  MATH/STAT 4540/5540 Introduction to Time Series, spring 2022
  ☆9Updated 2 years ago
• adam-oberman / adam-oberman.github.io
  Adam Oberman McGill Professor page
  ☆8Updated 3 weeks ago
• achinnasamy / Free-Python-Books
  A curated collection of free eBooks about Python
  ☆11Updated 7 years ago
• rlcode / paper-reviews
  weekly reinforcement learning paper reviews
  ☆32Updated 7 years ago
• tuanavu / Stanford-CS231
  CS231n: Convolutional Neural Networks for Visual Recognition
  ☆12Updated 6 years ago
• cbuntain / umd.inst414
  Course Material for the iSchool at UMD's INST414, Data Science Techniques
  ☆16Updated last year
• yhlleo / TriangleGAN
  TriangleGAN, ACM MM 2019.
  ☆29Updated 4 years ago
• chris-chris / ml-study-materials
  ☆11Updated 5 years ago
• jeonghunyoon / machine-learning-lecture-notes
  Lecture notes and codes for machine learning
  ☆12Updated 5 years ago
• dongminlee94 / Samsung-DRL-Code
  A repository for implementation of deep reinforcement learning lectured at Samsung
  ☆108Updated 3 years ago
• ClementPinard / FlowNetTorch
  Torch implementation of Fischer et al. FlowNet training code
  ☆31Updated 8 years ago