Alternatives and similar repositories for talks

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

• 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
  ☆105Updated 2 years ago
• BenWilson2 / ML-Engineering
  Reference code base for ML Engineering, Manning Publications
  ☆137Updated 4 years ago
• PacktPublishing / Production-Ready-Applied-Deep-Learning
  Production-Ready Applied Deep Learning
  ☆90Updated this week
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆163Updated last month
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆248Updated last month
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 4 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 4 years ago
• PacktPublishing / Machine-Learning-Engineering-with-Python
  Machine Learning Engineering with Python
  ☆187Updated this week
• PacktPublishing / The-Kaggle-Workbook
  Code Repository for The Kaggle Workbook, Published by Packt
  ☆137Updated this week
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆152Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆116Updated 2 years ago
• PacktPublishing / EngineeringMLOps
  Engineering MLOps, published by Packt
  ☆190Updated last month
• ansegura7 / NLP
  Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and tech…
  ☆81Updated 2 years ago
• sscardapane / neural-networks-for-data-science
  Notebooks for a course
  ☆41Updated 6 years ago
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆96Updated 3 years ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆73Updated last month
• rafiqhasan / auto-tensorflow
  Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.co…
  ☆180Updated 3 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆91Updated 3 years ago
• honghanhh / coursera-practical-data-science-specialization
  Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
  ☆60Updated 4 years ago
• alvarobartt / serving-tensorflow-models
  Serving TensorFlow models with TensorFlow Serving
  ☆43Updated 4 years ago
• Atcold / NYU-DLFL22
  NYU Deep Learning Fall 2022
  ☆64Updated last year
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆50Updated last year
• thushv89 / packt_nlp_tensorflow_2
  This will contain the code for the 2nd edition of NLP with TensorFlow (Edition 2)
  ☆45Updated 3 years ago
• PacktPublishing / Machine-Learning-Model-Serving-Patterns-and-Best-Practices
  Machine Learning Model Serving Patterns and Best Practices
  ☆36Updated this week
• rapidsai-community / showcase
  ☆93Updated 2 months ago
• ThinamXx / MLOps
  The repository contains a list of projects which I will work on while learning and implementing MLOps.
  ☆80Updated 3 years ago
• lmassaron / Machine-Learning-on-Tabular-Data
  Code for the new Manning book on machine learning on tabular datasets
  ☆65Updated 2 months ago
• dcai-course / dcai-lab
  Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽‍💻
  ☆478Updated 11 months ago
• thushv89 / manning_tf2_in_action
  The official code repository for "TensorFlow in Action" by Manning.
  ☆93Updated 2 years ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆274Updated 2 years ago