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Surendra Kumar's Projects

blender-flip-fluids icon blender-flip-fluids

FLIP Fluids is a powerful liquid simulation plugin that gives you the ability to create high quality fluid effects all within Blender, the free and open source 3D creation suite.

dataflowtemplates icon dataflowtemplates

Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks

house-prices icon house-prices

Predict sales prices. Implement feature engineering, RFs, and gradient boosting and other advanced regression techniques

llv icon llv

CLI tool for recording or replaying Epic Games' live link face capture frames.

mb-lab icon mb-lab

MB-Lab is a character creation tool for Blender 2.80+, based off ManuelBastioniLAB

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mocapnet icon mocapnet

We present MocapNET2, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance (70 fps in CPU-only execution).

sdv icon sdv

Synthetic Data Generation for tabular, relational and time series data.

snapshots icon snapshots

This repo contains cheatsheets for reference purposes. Credit goes to respective authors.

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