Discover @krrish94 Open Source projects

Krishna Murthy (@krrish94)

krrish94

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Registered about 12 years ago
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Python
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Location 🇺🇸 United States
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Cuda 19

SCSS 325

Lua
872

MATLAB
1,216

Python
1,374

C++
4,638

nerf-pytorch

A PyTorch re-implementation of Neural Radiance Fields

chamferdist

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

DeepVO

Implementation of DeepVO (ICRA 2017)

dvo_python

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

ComputerVisionReadingList

My reading list for topics in Computer Vision

ICRA2017

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

sniffle-workshop

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

ENet-ScanNet

ENet for 2D semantic segmentation in ScanNet

lseg-minimal

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

CarKeypoints

Inference code for keypoint detection on cars

CTCNet-release

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

ToySfM

Simple tutorial scripts for learning Structure from Motion by implementation

DeepLearningResources

[DEPRECATED] My collection of Deep Learning Resources

OptimizationReadingList

MapLiteSeg-Devel

A w"hacky" road-segmentation network

torch-self-intersection

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

learn-cuda

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

stacked-hourglass

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

Depth-Anything

Tiny tweak to depth-anything for Colab

krrish94.github.io

ASPnP_IRLS

dino-minimal

ssc

Forked from sscnet https://github.com/shurans/sscnet

Jupyter Notebook

shapeAdjustment

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

gaussian-splatting

My fork of gaussian splatting + expts

bandu_planning

RLReadingList

Reinforcement Learning Reading List

MotionAveraging

Implementation of variants of motion averaging methods.

ViewpointsAndKeypoints

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

learn_tensorflow

Code I wrote when I was learning tensorflow

PyTorch-experiments

My experiments with PyTorch

caffe-keypoint

commExplore

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

SpinUp

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