Chandradeep Pokhariya (coreqode)

coreqode

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Location:New Delhi

Home Page:coreqode.github.io

Twitter:@coreqode

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Chandradeep Pokhariya's repositories

awesome-cloth-simulation

Collection of Cloth Simulation Papers.

blender_wormholes

High-Level API for Blender

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meshgraphnet_pytorch

Pytorch Implementation of the meshgraphnets

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geometry_processing

Non-Efficient implementation of Geometry Processing Algorithms from scratch.

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awesome-3d-reconstruction-papers

A collection of 3D reconstruction papers in the deep learning era.

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connected-maths

An effort to have a eagle eye view of mathematics topics.

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coreqode.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

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csGraduateFellowships

A curated list of fellowships for graduate students in Computer Science and related fields.

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Gaia

Gaia Physics Engine

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geometry-processing-research-in-python

Geometry processing research tutorial in python - as presented at SGP 2024.

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GPU-Puzzles

Solve puzzles. Learn CUDA.

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humor

Code for ICCV 2021 paper "HuMoR: 3D Human Motion Model for Robust Pose Estimation"

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instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

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lang-segment-anything

SAM with text prompt

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machine-learning-and-simulation

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

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manopth

MANO layer for PyTorch, generating hand meshes as a differentiable layer

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mdbook-src

The mdbook source of a free online book on the theory and algorithms of physics-based simulations. You are welcome to make contributions by submitting pull requests or directly contacting the authors.

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PositionBasedDynamics

PositionBasedDynamics is a library for the physically-based simulation of rigid bodies, deformable solids and fluids.

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rotation_master

Provide conversion between the major representations of 3D rotation and visualize the orientation of a rigid body

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XMem

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

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