Pinned Repositories
cartographer_detailed_comments_ws
cartographer work space with detailed comments
coding-interview-university
A complete computer science study plan to become a software engineer.
deep_learning_object_detection
A paper list of object detection using deep learning.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DeepLearningModels
Extended-Kalman-Filter
Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters
Kalman-and-Bayesian-Filters-in-Python
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 filters, and more. All exercises include solutions.
LearningHyperspectral
This code implements self-learning classifier using an Autoencoder and a Softmax classifier and attempts to classify crops using hyperspectral data. However our current result do not outperform the state of the art.
ML
machine-learning
models
Models and examples built with TensorFlow
1131034310's Repositories
1131034310/cartographer_detailed_comments_ws
cartographer work space with detailed comments
1131034310/coding-interview-university
A complete computer science study plan to become a software engineer.
1131034310/deep_learning_object_detection
A paper list of object detection using deep learning.
1131034310/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
1131034310/DeepLearningModels
1131034310/Extended-Kalman-Filter
Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters
1131034310/Kalman-and-Bayesian-Filters-in-Python
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 filters, and more. All exercises include solutions.
1131034310/LearningHyperspectral
This code implements self-learning classifier using an Autoencoder and a Softmax classifier and attempts to classify crops using hyperspectral data. However our current result do not outperform the state of the art.
1131034310/ML
machine-learning
1131034310/models
Models and examples built with TensorFlow
1131034310/NaveGo
NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.
1131034310/Nonlinear-Fitting-with-Gaussian-Newton-Method
1131034310/Python-100-Days
Python - 100天从新手到大师
1131034310/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
1131034310/SC-SfMLearner-Release
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)
1131034310/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
1131034310/SINS-GPS-Integrated-Navigation
Inertial Navigation System (INS) and GPS Integrated Navigation MATLAB Programs.
1131034310/Track-Anything
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
1131034310/transferlearning
Resources and codes about transfer learning and domain adaptation--迁移学习
1131034310/yelp-image-classification
Computer Vision project / Detect whether an yelp review image is one of food, of decor, of customer, of menu, or of something else.