Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Tutorial Materials for "The Fundamentals of Modern Deep Learning with PyTorch" workshop at PyCon 2024

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Super-resolution of 10 Sentinel-2 bands to 5-meter resolution, starting from L1C or L2A (Theia format) products.

A Tensorflow implementation of "Next-ViT: Next Generation Vision Transformer for Efficient Deployment in Realistic Industrial Scenarios"

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Machine Learning Q and AI book

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised v…

Unsupervised visualization of image datasets using contrastive learning

Machine Learning Engineering Open Book

Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".

Code to reproduce our ICCV paper "Towards Improved Input Masking for Convolutional Neural Networks"

This repo contains the official implementation of ICCV 2023 paper "Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?"

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estima…

This repository contains the implementation for the paper "EMP-SSL: Towards Self-Supervised Learning in One Training Epoch."

VICReg official code base