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360-degree-panoramic-display-system

algorithms

This repo is for algorithm practice

autograd

A toy code to demonstrate how autograd works!

benzlxs.github.io

caffe

Caffe: a fast open framework for deep learning.

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

config_new_linux_env

crossscalestereo

Cross-Scale Cost Aggregation for Stereo Matching (CVPR 2014)

cudakalmanfilter

Implemented the Kalman Filter Algorithms on GPU using CUDA programming language. Analysed the run-time performance gain obtained by parallel computation of the various stages of the algorithm.Speed up of 1000x is observed for large input sets.

det3d

easy-markdown-to-github-pages

Convert Markdown files in Github to a full website using Github Pages

freescale-cup

goss_segmentor

knowledge_for_engineering

The repository includes a broad range of knowledge for engineering, such as optimization, estimation or transformation methods etc.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mmcbe

MMCBE: Multi-modality Dataset for Crop Biomass Estimation and Beyond

mscnn

multinerf

A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF

n3f

Official PyTorch Implementation of Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations

neuralnetwork_minist

follows the book on NN but implemented in Matlab

nlp_amazon_reviews

Mobile phone reviews from Amazon.com are analysed to find trends and patterns and determine which characteristics are mentioned most by customers and with what sentiment for each product.

object_detection_kitti

TF Object Detection on Kitti Data

optimization4engineering

point_clustering_kitti

Doing the clustering on point cloud provided by KITTI Benchmark (http://www.cvlibs.net/datasets/kitti/)

prsm

Piecewise Rigid Scene Model - Implementation IJCV'15

rrc_detection

Accurate Single Stage Detector Using Recurrent Rolling Convolution

run_based_segmentation

An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...

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.

sparseconvnet

Submanifold sparse convolutional networks

spconv

Spatial Sparse Convolution in PyTorch