#
Starred repositories
123
stars
written in Jupyter Notebook
Clear filter
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Python Data Science Handbook: full text in Jupyter Notebooks
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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.
llama3 implementation one matrix multiplication at a time
This repository contains implementations and illustrative code to accompany DeepMind publications
Neural Networks: Zero to Hero
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Code release for NeRF (Neural Radiance Fields)
A collection of pre-trained, state-of-the-art models in the ONNX format
Image restoration with neural networks but without learning.
Understanding Deep Learning - Simon J.D. Prince
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.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
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…
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Tutorials for creating and using ONNX models
An educational AI robot based on NVIDIA Jetson Nano.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
