Repository Index

TensorFlow examples

• tensorflow
• tensorflow-examples

Notebooks and code for the book "Introduction to Machine Learning with Python"

Code samples used on cloud.google.com

• python
• samples

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

• data-drift
• jupyter-notebook
• pandas-dataframe
• machine-learning

Sample code for Channel 9 Python for Beginners course

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

• ai
• prompt-engineering
• tutorials
• llms

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

• pytorch
• pytorch-lightning
• stable-diffusion
• text-to-image

this repository accompanies the book "Grokking Deep Learning"

LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼

Using Low-rank adaptation to quickly fine-tune diffusion models.

• diffusion
• lora
• stable-diffusion
• dreambooth

Collection of notebooks about quantitative finance, with interactive python code.

• quantitative-finance
• jupyter-notebooks
• kalman-filter
• option-pricing

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

• h2o
• machine-learning
• data-science
• deep-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

• machine-learning
• jupyter-notebook
• datascience
• example

Overview and tutorial of the LangChain Library

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

• super-resolution
• inpainting
• matting
• image-generation

Repository to store sample python programs for python learning

• python
• pandas
• pandas-dataframe
• pandas-tutorial

Python code for "Probabilistic Machine learning" book by Kevin Murphy

• jupyter-notebooks
• machine-learning
• colab
• pml

A unified framework for 3D content generation.

Taming Transformers for High-Resolution Image Synthesis

An adversarial example library for constructing attacks, building defenses, and benchmarking both

• machine-learning
• security
• benchmarking

TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.

• tensorflow
• tensorflow-examples
• tensorflow-tutorials
• tensorflow-2

TensorFlow documentation

• tensorflow
• tensorflow-tutorials
• tensorflow-examples
• documentation

Simple tutorials using Google's TensorFlow Framework

This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!