📄 适合中文的简历模板收集（LaTeX，HTML/JS and so on）由 @hoochanlon 维护

[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

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

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

Maybe the first academic open work on stereo 3D SSC method with vision-only input.

3D occupancy

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cycleg…

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

Code for ALBEF: a new vision-language pre-training method

Latex code for making neural networks diagrams

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

This job is non-official PyTorch implementation of the Range-Point-Voxel Funsion Network for lidar point cloud segmentation.

High-quality implementations of standard and SOTA methods on a variety of tasks.

Implement the 2D and 3D bounding box, multi-object tracking(MOT) and remote vehicle(RV) distancing calculating using the camera and point cloud sensor of the Kitti dataset

Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation (ICCV 2021)

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

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.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Explorations of Using Python to play Grand Theft Auto 5.

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

Learning Convolutional Neural Networks with Interactive Visualization.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文