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Name: Surendra Kumar
Type: User
Bio: Data Scientist | Neural networks are my main area of interest. I work with Python, TensorFlow, Numpy, Pandas, Matplotlib, and Linux.
Location: Bengaluru
Name: Surendra Kumar
Type: User
Bio: Data Scientist | Neural networks are my main area of interest. I work with Python, TensorFlow, Numpy, Pandas, Matplotlib, and Linux.
Location: Bengaluru
A curated list of deep learning resources for computer vision
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.
C++ in action
Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks
Predict sales prices. Implement feature engineering, RFs, and gradient boosting and other advanced regression techniques
Contains my submissions for LeetCode (https://leetcode.com)
CLI tool for recording or replaying Epic Games' live link face capture frames.
MB-Lab is a character creation tool for Blender 2.80+, based off ManuelBastioniLAB
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.
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).
Everything at once
Firebase Quickstart Samples for Web
Clone a voice in 5 seconds to generate arbitrary speech in real-time
A project to build corpus from Play Store App reviews
Download videos from Safari Books Online at ease.
Synthetic Data Generation for tabular, relational and time series data.
This repo contains cheatsheets for reference purposes. Credit goes to respective authors.
This repo is for demonstration purposes only.
Getting a fang of Python!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.