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A Curated List of Awesome Works in World Modeling, Aiming to Serve as a One-stop Resource for Researchers, Practitioners, and Enthusiasts Interested in World Modeling.
😎 Awesome lists about all kinds of interesting topics
[Information Fusion 2025] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective
[ICCV 2023] SurroundOcc: Multi-camera 3D Occupancy Prediction for Autonomous Driving
The FB-SSEM dataset is a synthetic datasetconsisting of surround-view fisheye camera images and BEV maps from simulated sequences of ego car motion
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
CVPR2023-Occupancy-Prediction-Challenge
[CVPR 2021] Self-supervised depth estimation from short sequences
Python Backtesting library for trading strategies
Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)
The repository containing tools and information about the WoodScape dataset.
This repository contains utility scripts for the KITTI-360 dataset.
module for converting raw lidar in kitti to depthmap
SGM，立体匹配StereoMatching最经典应用最广泛算法，4000+引用，兼顾效率和效果。完整实现，代码规范，注释清晰，博客教学！
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
Official PyTorch implementation of HANet (CVPR 2020)
TRI-ML Monocular Depth Estimation Repository