christinakouridi / scratchMLLinks
Implementation of Machine Learning algorithms from scratch in Python
☆34Updated 6 years ago
Alternatives and similar repositories for scratchML
Users that are interested in scratchML are comparing it to the libraries listed below
Sorting:
- How to build RNNs and LSTMs from scratch with NumPy.☆265Updated 4 years ago
- Some small scale experiments for my blog posts 📝☆79Updated 3 years ago
- [IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a…☆33Updated 6 years ago
- This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube☆247Updated 6 years ago
- The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch☆184Updated 5 years ago
- Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…☆239Updated last year
- This is where I put all my work in Natural Language Processing☆96Updated 4 years ago
- Template for data generator with PyTorch☆134Updated 6 years ago
- A tour of different optimization algorithms in PyTorch.☆99Updated 3 years ago
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…☆55Updated 4 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆139Updated 5 years ago
- Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021☆20Updated 4 years ago
- All about the fundamental blocks of TF and JAX!☆276Updated 3 years ago
- ☆63Updated 6 years ago
- David Mackay's book review and problem solvings and own python codes, mathematica files☆57Updated 7 years ago
- PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.☆265Updated 5 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 3 years ago
- Understanding nuts and bolts of neural networks with PyTorch☆33Updated 4 years ago
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 5 years ago
- Code samples and other materials for presentations by Bespoke tech team members☆82Updated 3 years ago
- This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)☆68Updated 4 years ago
- Lecture notes & Exercises☆45Updated 3 years ago
- A set of jupyter notebooks on pytorch functions with examples☆160Updated 5 years ago
- Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…☆69Updated 9 months ago
- ☆20Updated 5 years ago
- ☆76Updated 5 years ago
- RNN and general weights, gradients, & activations visualization in Keras & TensorFlow☆181Updated last year
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆134Updated 5 years ago
- In this project I implement Neural Machine Translation using Attention mechanism. The code is written using the TensorFlow library in Pyt…☆24Updated 6 years ago