Alternatives and similar repositories for scratchML

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

• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 3 years ago
• pyoungkangkim / Generative-Deep-Learning-Code-in-Pytorch
  The code repository for examples in the O'Reilly book 'Generative Deep Learning' using Pytorch
  ☆184Updated 5 years ago
• zhulingchen / tfp-tutorial
  TensorFlow Probability Tutorial
  ☆37Updated 5 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…
  ☆55Updated 4 years ago
• vinsis / math-and-ml-notes
  Books, papers and links to latest research in ML/AI
  ☆90Updated 11 months ago
• ayulockin / DataAugmentationTF
  Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.
  ☆34Updated 4 years ago
• soroosh-rz / Bayesian-Methods-for-Machine-Learning
  Bayesian Methods for Machine Learning
  ☆64Updated 6 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆98Updated 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.…
  ☆75Updated 4 years ago
• Atcold / practicalAI
  A practical approach to learning machine learning.
  ☆22Updated 6 years ago
• mertensu / transformer-tutorial
  Visualising the Transformer encoder
  ☆111Updated 4 years ago
• dair-ai / nlp_overview
  📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
  ☆48Updated 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…
  ☆33Updated 6 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆135Updated 4 years ago
• bentrevett / a-tour-of-pytorch-optimizers
  A tour of different optimization algorithms in PyTorch.
  ☆99Updated 3 years ago
• sayakpaul / Spatial-Transformer-Networks-with-Keras
  This repository provides a Colab Notebook that shows how to use Spatial Transformer Networks inside CNNs in Keras.
  ☆37Updated 3 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.
  ☆133Updated 5 years ago
• omarsar / pytorch_neural_machine_translation_attention
  Neural Machine Translation with Attention (PyTorch)
  ☆45Updated 6 years ago
• oke-aditya / pytorch_paper_implementations
  Deep Learning Paper Implementations in PyTorch
  ☆17Updated 3 months ago
• The-AI-Summer / RNN_tutorial
  Recurrent neural networks: building a custom LSTM/GRU cell in PyTorch
  ☆28Updated 4 years ago
• Machine-Learning-Tokyo / generative_deep_learning
  Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
  ☆24Updated 5 years ago
• s-nlp / annotated-transformer
  http://nlp.seas.harvard.edu/2018/04/03/attention.html
  ☆62Updated 4 years ago
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• glouppe / info8004-advanced-machine-learning
  Lectures for INFO8004 Advanced Machine Learning, ULiège
  ☆113Updated 3 months ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆190Updated 5 years ago
• llSourcell / Neural_Differential_Equations
  This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
  ☆246Updated 6 years ago
• sayakpaul / Sharpness-Aware-Minimization-TensorFlow
  Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
  ☆60Updated 3 years ago
• TreB1eN / HiddenMarkovModel_Pytorch
  Pytorch: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
  ☆56Updated 6 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆177Updated 3 years ago