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  • Created over 8 years ago
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Repository Details

[DEPRECATED] My collection of Deep Learning Resources

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1

nerf-pytorch

A PyTorch re-implementation of Neural Radiance Fields
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chamferdist

Pytorch package to compute Chamfer distance between point sets (pointclouds).
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3

DeepVO

Implementation of DeepVO (ICRA 2017)
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4

dvo_python

Coding dense visual odometry in a little more than a night (yikes)!
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5

ComputerVisionReadingList

My reading list for topics in Computer Vision
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ICRA2017

Code release for the ICRA 2017 paper "Reconstructing vehicles from a single image: shape priors for road scene understanding"
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sniffle-workshop

An easy-to-use jekyll theme for creating a workshop webpage (useful for AI / ML / CV / robotics folks)
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ENet-ScanNet

ENet for 2D semantic segmentation in ScanNet
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9

lseg-minimal

Minimal version of LSeg, based on https://github.com/isl-org/lang-seg
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CarKeypoints

Inference code for keypoint detection on cars
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11

CTCNet-release

[DEPRECATED] Code release for the CVPR 2018 workshop paper titled "Geometric consistency for self-supervised end-to-end visual odometry"
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ToySfM

Simple tutorial scripts for learning Structure from Motion by implementation
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13

OptimizationReadingList

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14

MapLiteSeg-Devel

A w"hacky" road-segmentation network
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15

torch-self-intersection

A "minimal" package to compute self-intersections among various faces within a triangle-mesh.
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16

learn-cuda

A collection of scripts I wrote when learning CUDA C++ programming
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17

stacked-hourglass

Our modification of the stacked-hourglass architecture for car keypoint localization
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18

Depth-Anything

Tiny tweak to depth-anything for Colab
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19

krrish94.github.io

My homepage
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20

ASPnP_IRLS

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21

dino-minimal

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22

ssc

Forked from sscnet https://github.com/shurans/sscnet
Jupyter Notebook
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23

shapeAdjustment

Code release for the paper "Reconstructing Vehicles from a Single Image: Shape Priors for Road Scene Understanding" [yet-to-appear]
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24

gaussian-splatting

My fork of gaussian splatting + expts
Python
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25

bandu_planning

Python
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26

RLReadingList

Reinforcement Learning Reading List
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27

MotionAveraging

Implementation of variants of motion averaging methods.
1
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28

ViewpointsAndKeypoints

My experiments with Shubham Tulsiani's work - Viewpoints and Keypoints [CVPR 2015]
MATLAB
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29

learn_tensorflow

Code I wrote when I was learning tensorflow
Python
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30

PyTorch-experiments

My experiments with PyTorch
Python
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31

caffe-keypoint

C++
1
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32

commExplore

An implementation of the paper "Multi-Robot Exploration Under the Constraints of Wireless Networking" in Python
Python
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33

SpinUp

Stuff I wrote when following the "Spinning Up in Deep RL" series by OpenAI
1
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