Alternatives and similar repositories for scratchML:

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

• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆37Updated 5 years ago
• bentrevett / pytorch-generative-models
  [IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a…
  ☆31Updated 5 years ago
• vinsis / understanding-neuralnetworks-pytorch
  Understanding nuts and bolts of neural networks with PyTorch
  ☆32Updated 3 years ago
• ilguyi / optimizers.numpy
  ☆63Updated 6 years ago
• llSourcell / Neural_Differential_Equations
  This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
  ☆241Updated 6 years ago
• Machine-Learning-Tokyo / generative_deep_learning
  Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
  ☆24Updated 4 years ago
• will-thompson-k / deeplearning-nlp-models
  A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs.…
  ☆76Updated 4 years ago
• bespoke-inc / bespoke-public-talks
  Code samples and other materials for presentations by Bespoke tech team members
  ☆82Updated 2 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆78Updated 2 years ago
• SummerSchoolMachineLearning / SMILES2020
  Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…
  ☆54Updated 4 years ago
• rasbt / 2021-pydata-jeddah
  Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021
  ☆18Updated 3 years ago
• CaptainE / RNN-LSTM-in-numpy
  Building a RNN and LSTM from scratch with NumPy.
  ☆41Updated 6 months ago
• craffel / jax-tutorial
  A tutorial on JAX (https://github.com/google/jax/)
  ☆46Updated 6 years ago
• nicklashansen / rnn_lstm_from_scratch
  How to build RNNs and LSTMs from scratch with NumPy.
  ☆257Updated 4 years ago
• keitakurita / Better_LSTM_PyTorch
  An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
  ☆132Updated 5 years ago
• Machine-Learning-Tokyo / Reinforcement_Learning
  Material for MLT Reinforcement Learning workshops and study sessions
  ☆50Updated 4 years ago
• RasaHQ / algorithm-whiteboard-resources
  this is where we share notebooks/projects used in your youtube channel
  ☆147Updated 3 years ago
• soroosh-rz / Bayesian-Methods-for-Machine-Learning
  Bayesian Methods for Machine Learning
  ☆64Updated 5 years ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆43Updated 3 years ago
• nvecoven / BRC
  A repository containing the code for the Bistable Recurrent Cell
  ☆47Updated 4 years ago
• abhishekkrthakur / bert-tweet-sentiment
  ☆31Updated 4 years ago
• abdulfatir / sampling-methods-numpy
  This repository contains implementations of some basic sampling methods in numpy.
  ☆66Updated 4 years ago
• pyoungkangkim / Generative-Deep-Learning-Code-in-Pytorch
  The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
  ☆182Updated 5 years ago
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆55Updated 5 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆135Updated 5 years ago
• ayulockin / DataAugmentationTF
  Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
  ☆34Updated 4 years ago
• physhik / Study-of-David-Mackay-s-book-
  David Mackay's book review and problem solvings and own python codes, mathematica files
  ☆57Updated 7 years ago
• yuibi / spacy_tutorial
  spaCy tutorial in English and Japanese. spacy-transformers, BERT, GiNZA.
  ☆63Updated 4 years ago
• bentrevett / a-tour-of-pytorch-optimizers
  A tour of different optimization algorithms in PyTorch.
  ☆92Updated 3 years ago