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Python - 100天从新手到大师
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Learn OpenCV : C++ and Python Examples
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Neural Networks: Zero to Hero
llama3 implementation one matrix multiplication at a time
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
This repository contains implementations and illustrative code to accompany DeepMind publications
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Code release for NeRF (Neural Radiance Fields)
A collection of pre-trained, state-of-the-art models in the ONNX format
Understanding Deep Learning - Simon J.D. Prince
Image restoration with neural networks but without learning.
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.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Repo to accompany my mastering LLM engineering course
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Tutorials for creating and using ONNX models
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
An educational AI robot based on NVIDIA Jetson Nano.