Stars
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Data Structure Algorithms, (GenAI/ML) System Design, Machine Learning, DevOps coding interview practices
Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.
C++ implementation of radial distortion absolute pose solvers.
C++ implementation of semi-automatic camera calibration based on Perspective-n-Point (PnP)
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
📝 A curated list of image rectification papers.
COLMAP - Structure-from-Motion and Multi-View Stereo
High Quality Monocular Depth Estimation via Transfer Learning
📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
An easy to use PyTorch to TensorRT converter
Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
An Implementation of Fully Convolutional Networks in Tensorflow.
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
The implementation of YOLO v2 with TensorFlow
Tensorflow implementation of YOLO, including training and test phase.
CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry
🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法…