A latent text-to-image diffusion model

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…

An annotated implementation of the Transformer paper.

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Collection of notebook guides created by the Brev.dev team!

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻‍🦸🏽

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.

Mastering Transformers, published by Packt

Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information processing systems. 2017.

A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)

Colab notebooks part of the documentation of Stable Baselines reinforcement learning library

A Reinforcement Learning Project using PPO + Transformer

[IEEE T-ASE] [IROS 2022] Unified Automatic Control of Vehicular Systems With Reinforcement Learning

[ITSC 2021] Reinforcement Learning for Mixed Autonomy Intersections

Results reproduction of the ECGAdv paper.