21 Lessons, Get Started Building with Generative AI
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Learn how to develop, deploy and iterate on production-grade ML applications.
This is a repo with links to everything you'd ever want to learn about data engineering
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
- bayesian-methods
- pymc
- mathematical-analysis
- jupyter-notebook
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
- generative-ai
- llm
- vertex-ai
- langchain
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- computer-vision
- deep-learning
- drug-discovery
- forecasting
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
- tensorflow
- tensorflow2
- deeplearning
- machinelearning
This repository contains demos I made with the Transformers library by HuggingFace.
- transformers
- pytorch
- bert
- vision-transformer
TensorFlow Tutorials with YouTube Videos
Toturials coming with the "data science roadmap" picture.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
Lectures on scientific computing with python, as IPython notebooks.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
- social-network
- indiana-university
- network-science
- textbook
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
ChatGPT Python Applications integrated with third party libraries and modules
How to create a Cartoonizer Android app with TensorFlow Lite models.
- tensorflow-lite
- tflite
- computer-vision
- gans
tutorials made for biologists to learn deep learning
- biologists
- keras
- deeplearning
- deep-learning
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.