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HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
pytorch code for Holistically-Nested Edge Detection
[ECCV 2022] Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics
Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple version)
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
[ICCV 2019] Monocular depth estimation from a single image
CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation
[CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Example deep learning projects that use wandb's features.
Interpreting Deep Learning-Based Networking Systems (SIGCOMM 2020)
Implementation of methodology described in ACM SIGCOMM CCR 48(1), pp. 19-27.
The source codes for the paper "Neural News Recommendation with Multi-Head Self-Attention".
Fairrec: fairness-aware news recommendation with decomposed adversarial learning
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
A Curated List of Must-read Papers on Recommender System.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.