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turn11's Projects

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

decision-making

Python implementation of the TOPSIS, TODIM, and A-TOPSIS

deep-3d-obj-recognition

3D Object Recognition with Deep Networks Project for 3D Vision - ETHZ

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepsegmentor

A Pytorch implementation of DeepCrack and RoadNet projects.

deepsocial

Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic and Beyond

deeptl-lane-change-classification

Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dfnsmeshgenerator3d

The executable version of the algorithm for adptively meshing highly discrete fracture networks into triangles or tetrahedra.

dfnWorks is a parallelized computational suite to generate three-dimensional discrete fracture networks (DFN) and simulate flow and transport. If you download the software please fill out our interest form to stay up to date on releases https://goo.gl/forms/VE39oKsyp4LVC6Gj2 and join our google group https://groups.google.com/d/forum/dfnworks-users . Precompiled Docker Container https://hub.docker.com/r/ees16/dfnworks

dists

IQA: Deep Image Structure and Texture Similarity Metric

edges

Structured Edge Detection Toolbox

enpm673-perception-for-autonomous-robots

This class teaches Image Processing and Computer Vision techniques for Mobile Robots. The class covers three topics: Image Processing (Image Enhancement, Filtering, Advanced Edge and Texture), 3D Vision (3D Geometry from Multiple view geometry, Motion Processing and Stereo) and an Introduction to Image Segmentation and Object Recognition. Students will be introduced to a number of existing software toolboxes from Vision and Robotics, and will implement a number of smaller projects in Matlab.

entropymethod_evaluation

熵值法以及TOPSIS法期刊评价

faster-rcnn_tf

Faster-RCNN in Tensorflow

fastmaskrcnn

Mask RCNN in TensorFlow

floodrisk

Study & assessment of probable impact of catastrophic flood events & manage flood risk with a first order flood-fill model developed using Python geospatial libraries