Stars
🤖 Machine Learning Summer School Guide
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
Examples built with TensorFlow.js
pytorch tutorial for beginners
Low-code framework for building custom LLMs, neural networks, and other AI models
A collection of machine learning examples and tutorials.
💯 Curated coding interview preparation materials for busy software engineers
DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control
⏰ AI conference deadline countdowns
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Classical equations and diagrams in machine learning
Lime: Explaining the predictions of any machine learning classifier
A collection of various notebook extensions for Jupyter
A tool for extracting plain text from Wikipedia dumps
Simple but effective library to translate Java source code to Python.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A list of tech conferences that provide diversity travel grants/scholarships 💛
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Python script to download all Springer books released for free during the 2020 COVID-19 quarantine
Deep Learning models for network traffic classification
Train an LSTM to generate piano or violin/piano music.
Notebook to download machine learning flashcards
Practical assignments of the Deep|Bayes summer school 2019
Implementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)