Alternatives and similar repositories for VisualML

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

• dsgiitr / reading-group
  Discussions on papers, frameworks, blogs and ideas every Saturday.
  ☆60Updated 4 years ago
• dsgiitr / Visualizing-Loss-Functions
  ☆37Updated 8 years ago
• jamesdellinger / fastai_deep_learning_course_part2_v3
  My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)
  ☆39Updated 6 years ago
• Tessellate-Imaging / Pytorch_Tutorial
  A set of jupyter notebooks on pytorch functions with examples
  ☆161Updated 5 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 5 years ago
• dudeperf3ct / DL_Notebooks
  This repo contains all the notebooks mentioned in blog.
  ☆93Updated 5 years ago
• alisher-ai / machine-learning-notes
  My personal notes on Machine Learning
  ☆146Updated 5 years ago
• M-68 / ActivationFunctions
  Implementing activation functions from scratch in Tensorflow.
  ☆36Updated 3 years ago
• lballore / deep-learning-with-python
  TensorFlow 2.* exercises from the book "Deep Learning with Python" by François Chollet
  ☆48Updated 4 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆191Updated 6 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆32Updated 4 years ago
• catalyst-team / awesome-catalyst-list
  ☆54Updated 5 years ago
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆177Updated 3 years ago
• learning-luke / pytorch-experiments-template
  A pytorch based classification experiments template
  ☆47Updated 4 years ago
• kartik4949 / TensorPipe
  High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.
  ☆85Updated 3 years ago
• jkoutsikakis / pytorch-wrapper
  Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.
  ☆95Updated last year
• jwmueller / KDD20-tutorial
  Tutorial on Automated Machine Learning at KDD 2020
  ☆55Updated 5 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 6 years ago
• chaitjo / gated-graph-transformers
  Transformers are Graph Neural Networks!
  ☆54Updated 5 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 5 years ago
• t-vi / acdl2020
  ☆35Updated 5 years ago
• iArunava / scratchai
  scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.
  ☆97Updated last year
• acecreamu / ai-residency
  Example of a Cover letter for AI Residency
  ☆80Updated 6 years ago
• sethjuarez / DeepLearningWithPyTorch
  ☆83Updated 4 years ago
• dipanjanS / adversarial-learning-robustness
  Contains materials for workshops pertaining to adversarial robustness in deep learning.
  ☆86Updated 4 years ago
• Atcold / SP19-DL-collaborative-notes
  Collaborative lecture notes for Spring '19 NYU DL class
  ☆118Updated 5 years ago
• sjosund / ml-project-checklist
  ☆40Updated 2 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 6 years ago
• Machine-Learning-Tokyo / Deep_Reinforcement_Learning
  Resources, papers, tutorials
  ☆126Updated 5 years ago
• achinnasamy / Free-Deep-Learning-Books
  A curated collection of free Deep Learning related eBooks
  ☆77Updated 7 years ago