21 Lessons, Get Started Building with Generative AI

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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 ;)

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

TensorFlow Tutorials with YouTube Videos

Automatic extraction of relevant features from time series:

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

Reference models and tools for Cloud TPUs.

TensorFlow Basic Tutorial Labs

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Lectures on scientific computing with python, as IPython notebooks.

The fast.ai course notebooks

Keras documentation, hosted live at keras.io

A crash course in six episodes for software developers who want to become machine learning practitioners.

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

subpixel: A subpixel convnet for super resolution with Tensorflow

Public repo for DeepLearning.AI MLEP Specialization

🤖⚡ 50 scikit-learn tips

The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well …

Tensors, for human consumption

Sionna: An Open-Source Library for Research on Communication Systems

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply