TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

QLoRA: Efficient Finetuning of Quantized LLMs

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

TensorFlow examples

Deep Learning Specialization by Andrew Ng on Coursera.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Content for Udacity's Machine Learning curriculum

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

PySpark-Tutorial provides basic algorithms using PySpark

You can Learn Basic Machine learning Techniques from here