[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

Kubernetes application example tutorials

YOLOv5 implementation using PyTorch

YOLOv8 optimized version for deployment on TI edge processors

This is a collection of tutorials for learning how to use Docker with various tools. Contributions welcome.

Metric depth estimation from a single image

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

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

small c++ library to quickly deploy models using onnxruntime

Source code for Twitter's Recommendation Algorithm

Source code for Twitter's Recommendation Algorithm

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

CVNets: A library for training computer vision networks

A curated list of awesome datasets for SLAM

Software Architecture for ML engineers

Fork of Pytorch YOLOv4 for realtime stitched detection

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

An ongoing list of pandas quirks