Stars
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A latent text-to-image diffusion model
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
This is a repo with links to everything you'd ever want to learn about data engineering
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Anthropic's Interactive Prompt Engineering Tutorial
Python programs, usually short, of considerable difficulty, to perfect particular skills.
The fastai book, published as Jupyter Notebooks
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
A simple screen parsing tool towards pure vision based GUI agent
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Data and code behind the articles and graphics at FiveThirtyEight
📡 Simple and ready-to-use tutorials for TensorFlow
llama3 implementation one matrix multiplication at a time
A multi-voice TTS system trained with an emphasis on quality
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Visualizations for machine learning datasets
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.
From the basics to slightly more interesting applications of Tensorflow
The 3rd edition of course.fast.ai