Repository Index

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

• deep-learning
• mit
• self-driving-cars
• deep-reinforcement-learning

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

• inpainting
• inpainting-methods
• inpainting-algorithm
• computer-vision

:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

• deep-learning
• text-to-speech
• python
• pytorch

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

• computer-vision
• deep-learning
• deep-neural-networks
• image-classification

Automatic extraction of relevant features from time series:

• data-science
• feature-extraction
• time-series

TensorFlow Tutorials with YouTube Videos

• tensorflow
• deep-learning
• machine-learning
• reinforcement-learning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

• mit
• deep-learning
• neural-networks
• tensorflow

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

• auto-regressive-model
• diffusion-models
• image-generation
• transformers

Repositório do lab "Contribuindo em um Projeto Open Source no GitHub" da Digital Innovation One.

• git
• github
• open-source

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching

• neural-network
• python
• pytorch-tutorial
• batch-normalization

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

• andrew-ng
• andrew-ng-machine-learning
• coursera
• coursera-assignment

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.

• data-drift
• jupyter-notebook
• pandas-dataframe
• machine-learning

Sample code for Channel 9 Python for Beginners course

Repo to accompany my mastering LLM engineering course

LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼

All course materials for the Zero to Mastery Machine Learning and Data Science course.

• machine-learning
• data-science
• deep-learning

Collection of notebooks about quantitative finance, with interactive python code.

• quantitative-finance
• jupyter-notebooks
• kalman-filter
• option-pricing

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

• h2o
• machine-learning
• data-science
• deep-learning

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

• machine-learning
• jupyter-notebook
• datascience
• example

Toturials coming with the "data science roadmap" picture.

Flax is a neural network library for JAX that is designed for flexibility.

• jax