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2d-kalman-filter-example_dr_can_in_python

6-dof-inertial-odometry

IMU-Based 6-DOF Odometry

a-loam-noted

Chinese annotated version of A-LOAM

adversarialnetspapers

The classical papers and codes about generative adversarial nets

alexnet_tensorflow2.0-2.3

I am pleased to update the AlexNet and its variants to adapt to TensorFlow 2.0/2.1/2.2/2.3. Since the original script of myalexnet_forward written by the AlexNet team was build on TensorFlow 1.x in 2017, it has generated many errors during the runtime in the env. of TensorFlow 2.x. Either the AlexNet team has no time to update, or it is very hard for developers to find out the AlexNet variants to adapt to TensorFlow 2.0/2.1/2.2 with the Google search. Furthermore, I split the AlexNet model in both the OOP and the pure command style and make client applications to call the AlexNet model because the AlexNet model is not separated in most of the published scenarios which incur the difficulties for developer's deep learning. Considering that AlexNet is the greatest milestone in the CNNN/DNN history (Mr. Hinton has just won the Turing Award in 2019 and the event is not far from fading away), it is important to continue its usability and accessibility to all developers. It is exciting for me to take the opportunity to share the new update.

alexnet_with_tensorflow

an implement of AlexNet with tensorflow, which has a detailed explanation.

analyzekge

Analyzing knowledge graph embedding methods, including TransE, DistMult, CP, SimplE, ComplEx, Quaternion

apama-industry-analytics-kit

A set of event-based, analytic microservices used to accelerate the development of Industry/IoT applications.

artificial-neural-networks

This is a sample example of a artificial neural networks using Perceptron

autoware_camera_lidar_calibrator

This is a project for camera-lidar extrinsic calibration, which is seperated from Autoware: https://gitlab.com/autowarefoundation/autoware.ai/utilities/tree/master/autoware_camera_lidar_calibrator

awesome-question-answering

Resources, datasets, papers on Question Answering

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

awesome_dynamic_slam

Dynamic SLAM, Life-long SLAM Research(Lidar, Visual, Sensor Fusion etc.)

backpropagation

学习反向传播的python3代码

bert-ner

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

ceqa

知识图谱问答系统

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

chefboost

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

cnn

基于Java实现CNN，并附MNIST和语音（MFCC特征）性别识别示例。

cnn-from-scratch

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

comp597-project

Define a two-side fairness metric in RS. Also enhance the quality of recommendation on other aspects (recall, nDCG, interpretability).

conference

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

crf

Implementation of CRF (conditional random fiels) and pos-tagger

crfjava

To be the most simple CRF Java tool kit.

cv_camera

ROS opencv camera driver that uses cv::VideoCapture

cv_toolbox

data preprocess for cv, including data aug (general and cutout) for object detection, KITTI, COCO data to VOC

dataminingcluster

Implementation of text clustering algorithms including K-means, MBSAS, DBSCAN.