Alternatives and similar repositories for igssm

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

• jmugan / modern_practical_nlp
  This course covers how you can use NLP to do stuff.
  ☆267Updated 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
• astrumai / DeepLearningWithTF2.0
  Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
  ☆299Updated 6 years ago
• omarsar / pytorch_notebooks
  A collection of PyTorch notebooks for learning and practicing deep learning
  ☆140Updated 6 years ago
• ucalyptus / awesome-fastai
  Curated lists of fastai resources: blog posts, twitter threads etc.
  ☆146Updated 6 years ago
• Tessellate-Imaging / Pytorch_Tutorial
  A set of jupyter notebooks on pytorch functions with examples
  ☆162Updated 5 years ago
• sayakpaul / TF-2.0-Hacks
  Contains my explorations of TensorFlow 2.x
  ☆381Updated 3 years ago
• alisher-ai / machine-learning-notes
  My personal notes on Machine Learning
  ☆145Updated 5 years ago
• vishwesh5 / kaggle-videos
  Kaggle Reading Group (Video & Paper list), Kaggle Coding Videos
  ☆28Updated 6 years ago
• Machine-Learning-Tokyo / Math_resources
  ☆346Updated 5 years ago
• CleanPegasus / TensorDash
  TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training …
  ☆173Updated 3 years ago
• Machine-Learning-Tokyo / MLT_starterkit
  ☆92Updated 4 years ago
• dipanjanS / adversarial-learning-robustness
  Contains materials for workshops pertaining to adversarial robustness in deep learning.
  ☆86Updated 4 years ago
• nicklashansen / neural-net-optimization
  PyTorch implementations of recent optimization algorithms for deep learning.
  ☆62Updated 5 years ago
• Machine-Learning-Tokyo / AI-ML-Newsletter
  AI Digest: Monthly updates on AI and ML topics
  ☆105Updated 4 years ago
• muellerzr / Practical-Deep-Learning-For-Coders
  Material for my run of Fast.AI
  ☆57Updated 5 years ago
• rajesh-bhat / spark-ai-summit-2020-text-extraction
  ☆60Updated 5 years ago
• CleanPegasus / coffeeshop
  A python package that sends your deep learning training and validation metrics to your slack channel after every specified epoch
  ☆60Updated 6 years ago
• dair-ai / awesome-ML-projects-guide
  A guide to building awesome machine learning projects.
  ☆247Updated 5 years ago
• arpit2412 / Generative-Adversarial-Network-
  Different Generative Adversarial Networks
  ☆24Updated 4 years ago
• fastai / book_nbs
  Notebooks for upcoming fastai book (draft / incomplete)
  ☆164Updated 5 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• DanielhCarranza / ml-production-template
  This codebase is a starting point to get your Machine Learning project into Production.
  ☆43Updated 5 years ago
• vopani / fortyone
  Machine Learning begins with Human Learning
  ☆108Updated 4 years ago
• EtienneT / fastai-petfinder
  Merging image, tabular and text data in a neural network with fastai
  ☆52Updated 2 years ago
• earthspecies / intro-to-DSP-with-python
  ☆213Updated 4 years ago
• Machine-Learning-Tokyo / MLT_Talks
  Slides, videos and other resources from MLT Talks
  ☆109Updated 5 years ago
• hhaji / Deep-Learning
  Course: Deep Learning
  ☆195Updated last year
• ADGEfficiency / teaching-monolith
  Data science teaching materials
  ☆152Updated 11 months ago
• dair-ai / d2l-study-group
  🧠 Material for the Deep Learning Study Group
  ☆394Updated 3 years ago