Alternatives and similar repositories for Pytorch-Tutorials

Users that are interested in Pytorch-Tutorials are comparing it to the libraries listed below

• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆89Updated 2 years ago
• mallahyari / ml_tutorial
  This repository explains machine learning concepts
  ☆56Updated last year
• PacktPublishing / Mastering-Transformers-Second-Edition
  Mastering Transformers, Second Edition, published by Packt
  ☆56Updated last year
• PacktPublishing / Machine-Learning-for-Imbalanced-Data
  Machine Learning for Imbalanced Data, published by Packt
  ☆277Updated 7 months ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆90Updated last year
• KhashayarRahimi / Reinforcement-Learning-Algorithms-From-Scratch
  Implementation of Reinforcement Learning Algorithms (From Reinforcement Learning An Introduction By Sutton & Barto)
  ☆66Updated 2 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆162Updated last year
• shanakaChathu / churn_model
  ☆22Updated 2 years ago
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆79Updated 2 years ago
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆35Updated last year
• Meesho / spark_calibration
  Spark Calibration - A python package for calibrating probabilities predicted by ML model involving large training & test datasets as spar…
  ☆17Updated 4 months ago
• TalalAhmed311 / Attention-is-all-you-Need
  ☆25Updated 2 years ago
• Hadar933 / Deep-Reinforcement-Learning
  DRL university course lecture notes & exercises
  ☆86Updated 2 years ago
• ashishpatel26 / Awesome-MLOps-Course-Outline
  Awesome MLOps Course Outline
  ☆35Updated 2 years ago
• AUT-Twitter-Analytics / Streamlit-Dashboard
  A dashboard application for analyzing tweets. 🐦
  ☆24Updated 2 years ago
• nazneenrajani / interpreting-ml-models-course
  Course for Interpreting ML Models
  ☆52Updated 2 years ago
• neubig / nlp-from-scratch-assignment-2022
  An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch
  ☆170Updated 2 years ago
• deskool / nlp-class
  A Natural Language Processing course taught by Professor Ghassemi
  ☆178Updated 4 years ago
• ThinamXx / Transformers_NLP
  The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformer…
  ☆72Updated last year
• voxel51 / papers-with-data
  A curated list of papers that released datasets along with their work
  ☆126Updated 10 months ago
• SepidehHosseinian / MLOps-Roadmap
  MLOps-Roadmap-2023 is a repository that provides a comprehensive and up-to-date guide for anyone who wants to learn and master machine le…
  ☆122Updated last year
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆102Updated 2 years ago
• Lightning-AI / engineering-class
  Lightning Bits: Engineering for Researchers repo
  ☆132Updated 3 years ago
• behroozazarkhalili / SSL
  ☆15Updated 11 months ago
• thushv89 / packt_nlp_tensorflow_2
  This will contain the code for the 2nd edition of NLP with TensorFlow (Edition 2)
  ☆44Updated 3 years ago
• maziarraissi / PetGPT
  Train your own PetGPT at home!
  ☆120Updated 2 years ago
• PrithivirajDamodaran / ZSIC
  Zero Shot Image Classification but more, Supports Multilingual labelling and a variety of CNN based models for a vision backbone by using…
  ☆49Updated 3 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago
• trojrobert / MLOps_roadmap_and_curriculum
  Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…
  ☆183Updated 3 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆244Updated last year