arthurdjn / netsLinks
Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
☆36Updated 4 years ago
Alternatives and similar repositories for nets
Users that are interested in nets are comparing it to the libraries listed below
Sorting:
- A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well …☆185Updated last year
- How to build RNNs and LSTMs from scratch with NumPy.☆269Updated 5 years ago
- Linear Algebra Fundamentals for Machine Learning☆46Updated 6 years ago
- I will build Transformer from scratch☆86Updated 4 months ago
- Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…☆223Updated last year
- Awesome Pytorch Tutorials☆33Updated 3 years ago
- RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.☆50Updated 3 years ago
- Agorithms and data structures in Python 🐍☆36Updated 3 years ago
- Convolutional Neural Network implemented from Scratch for MNIST and CIFAR-10 datasets.☆67Updated 3 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆524Updated 3 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆296Updated 5 years ago
- Code Listings for the book: Optimization Algorithms. Manning Publications, 2024.☆133Updated 8 months ago
- Advanced Deep Learning with Python by Packt Publishing☆119Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆90Updated 6 years ago
- Mastering PyTorch, published by Packt☆325Updated 2 weeks ago
- ☆151Updated 3 years ago
- Sample code from the Neural Networks from Scratch book.☆343Updated last year
- Coursera Advanced Machine Learning Specialization by National Research University Higher School of Economics☆36Updated 2 years ago
- Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.☆862Updated 2 months ago
- Notebooks for the "Deep Learning with JAX" book☆162Updated 5 months ago
- Essential mathematics for applied machine learning and data science☆79Updated 3 years ago
- A tour of different optimization algorithms in PyTorch.☆99Updated 3 years ago
- NYU Deep Learning Fall 2022☆63Updated last year
- Exercises and solutions to Stanford CS229 Machine Learning in Python☆206Updated 2 years ago
- Series of notebooks accompanying the book "Practical Deep Learning for Computer Vision with Python" to get you from walking to running in…☆35Updated 2 years ago
- FREE ML Courses from Top Universities☆253Updated 2 months ago
- Solutions for Stanford CS224n, Winter 2020.☆13Updated 4 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆92Updated 2 years ago
- ☆114Updated last year
- Learning Tensorflow Step by Step:: Concepts, Examples & Applications☆56Updated 5 months ago