Alternatives and similar repositories for nets

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

• yacineMahdid / artificial-intelligence-and-machine-learning
  A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well …
  ☆184Updated last year
• PacktPublishing / Mastering-PyTorch
  Mastering PyTorch, published by Packt
  ☆336Updated this week
• Optimization-Algorithms-Book / Code-Listings
  Code Listings for the book: Optimization Algorithms. Manning Publications, 2024.
  ☆139Updated 10 months ago
• nicklashansen / rnn_lstm_from_scratch
  How to build RNNs and LSTMs from scratch with NumPy.
  ☆279Updated 5 years ago
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆272Updated last year
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆540Updated 4 years ago
• ashishpatel26 / Awesome-Pytorch-Tutorials
  Awesome Pytorch Tutorials
  ☆34Updated 4 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆277Updated 4 years ago
• AlessandroSaviolo / CNN-from-Scratch
  Convolutional Neural Network implemented from Scratch for MNIST and CIFAR-10 datasets.
  ☆66Updated 3 years ago
• TalalAhmed311 / Attention-is-all-you-Need
  ☆25Updated 3 years ago
• PacktPublishing / Advanced-Deep-Learning-with-Python
  Advanced Deep Learning with Python by Packt Publishing
  ☆120Updated 3 years ago
• Khaliladib11 / Transformer-from-scratch
  I will build Transformer from scratch
  ☆84Updated 6 months ago
• bentrevett / a-tour-of-pytorch-optimizers
  A tour of different optimization algorithms in PyTorch.
  ☆98Updated 4 years ago
• ctanujit / lecture-notes
  ☆121Updated last year
• ritchieng / deep-learning-wizard
  Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
  ☆868Updated 5 months ago
• lukanovak93 / advanced-machine-learning-specialization
  Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics
  ☆35Updated 3 years ago
• Gautam-J / Machine-Learning
  Implementation of different ML Algorithms from scratch, written in Python 3.x
  ☆412Updated 2 years ago
• upb-lea / reinforcement_learning_course_materials
  Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn Univ…
  ☆1,015Updated last month
• maciejbalawejder / Deep-Learning-Collection
  ☆64Updated 3 years ago
• EduardoGarrido90 / UPM_summer_school_GP_BO_course
  Here are the notebooks for the Gaussian Processes and Bayesian Optimization course. The notebooks can be executed in Google Colab.
  ☆28Updated last year
• ajhalthor / Time-Series-Forecasting
  Time series forecasting of some Indian Restaurant
  ☆30Updated 4 years ago
• SJD1882 / MOOC-Coursera-Advanced-Machine-Learning
  Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforce…
  ☆209Updated 6 years ago
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated last month
• akhilvasvani / Linear-Algebra-Basics
  Linear Algebra Fundamentals for Machine Learning
  ☆46Updated 6 years ago
• aladdinpersson / Algorithms-Collection-Python
  Collection of Algorithms implemented in Python
  ☆243Updated 3 years ago
• better-data-science / TensorFlow
  ☆54Updated 4 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆91Updated 2 years ago
• krishnonwork / mathematical-methods-in-deep-learning-ipython
  Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…
  ☆246Updated last year
• xbresson / CS4243_2022
  Computer Vision and Pattern Recognition, NUS CS4243, 2022
  ☆177Updated 3 years ago
• snowdj / CS228_PGM
  🌀 Stanford CS 228 - Probabilistic Graphical Models
  ☆92Updated 7 years ago