adan1145

adan1145's Stars

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.4k3.7k

• ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

  500 AI Machine learning Deep learning Computer vision NLP Projects with code

  21.3k5.3k

• GokuMohandas/mlops-course

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook3k516

• great-expectations/great_expectations

  Always know what to expect from your data.

  Language:Python10.1k1.6k

• visenger/awesome-mlops

  A curated list of references for MLOps

  12.7k1.9k

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10.2k6.8k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.8k2.3k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.9k6k

• lmoroney/dlaicourse

  Notebooks for learning deep learning

  Language:Jupyter Notebook5.7k5.4k

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.9k8.7k

• randylaosat/Predicting-Employee-Turnover-Complete-Guide-Analysis

  Understand why employees leave a company and apply various machine learning models to predict the next leaver!

  Language:Jupyter Notebook5136

• ageron/handson-ml

  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

  Language:Jupyter Notebook25.2k12.9k

• adan1145/cs228-material

  Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

  1

• adan1145/Stanford-CNN-for-Visual-Recognition-cs231n.github.io

  Public facing notes page

  1

• adan1145/stat479-machine-learning-fs19

  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

  1

• adan1145/Python-for-Data-Analysis-by-Wes-Mckinney-pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

  1

• adan1145/AML-Lab

  2

• rasbt/stat479-machine-learning-fs19

  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

  Language:Jupyter Notebook725243

• wesm/pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

  Language:Jupyter Notebook22.4k15.3k

• kuleshov/teaching-material

  Teaching materials for the machine learning and deep learning classes at Stanford and Cornell

  Language:Jupyter Notebook1.1k1.4k

• cs231n/cs231n.github.io

  Public facing notes page

  Language:Jupyter Notebook10.3k4.1k

• faizan170/piaic-batch3-islamabad

  Python Juputer Notebook code for AI students of PIAIC Islamabad

  Language:Jupyter Notebook76

• adan1145/PIAIC-AI-Batch-3-Islamabad-By-Sir-Adan

  PIAIC Btach 3 Islamabad AI Repository By Sir Adan

  Language:Jupyter Notebook21

• adan1145/PIAIC-AI-Batch-3-Islamabad-By-Sir-Faizan

  PIAIC Batch 3 Islamabad AI Repository by Sir Faizan

  1

• adan1145/AI-and-ML-Workshop-2019

  Language:Jupyter Notebook1