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3dfg

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome-point-cloud-transformers

awesome3dpytorch

basics_of_cv

breastcancer_wisconsin_winsorizing

cisc360-f18

F18 CISC 360 Comp. Architecture class project

code

comparisonoflvqbackpropsvm

convexoptimization

Notes

deeplearninghw1

deeplearninghw2

deeplearninghw3

deepstroke

Multi-device Keystroke spoofing using Generative Adversarial Networks

dl_specialization

My programming assignments of Coursera's Deep Learning Specialization

gis-k-center-problem

Automatically exported from code.google.com/p/gis-k-center-problem

graphstats

hackerrank

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

misclassificationcostbasedneuralnetworktraining

A neural network is trained by backpropagation of errors which are generated due to difference in actual and predicted class

mvtn

pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"

mycode

passwordpredict

pointaugment

Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)

pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pointnext

[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

sheshap.github.io

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

soilmoistureprediction

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

tensorflow_googlecolab

Basics to get started with tensorflow on google colab