🔊 Text-Prompted Generative Audio Model

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 ;)

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

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

CoreNet: A library for training deep neural networks

A computer science textbook

This is Andrew NG Coursera Handwritten Notes.

An Interactive Introduction to Fourier Transforms

🔥 A collection of PyTorch notebooks for learning and practicing deep learning

Finetune a LLM to speak like you based on your WhatsApp Conversations

Simulation framework for accelerating research in Private Federated Learning

just random notes