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Name: Ravi Tej Akella
Type: User
Bio: ML Scientist @ Tesla AutoPilot, MS Robotics @ CMU, B.tech ECE @ IIT Roorkee
Twitter: ravitej_17
Location: Palo Alto, CA
Name: Ravi Tej Akella
Type: User
Bio: ML Scientist @ Tesla AutoPilot, MS Robotics @ CMU, B.tech ECE @ IIT Roorkee
Twitter: ravitej_17
Location: Palo Alto, CA
To learn and reason like humans, AI must first learn to factorise interpretable representations of independent data generative factors (preferably in an unsupervised manner!!). What does all this mean? Go through this tutorial to get an overview of disentanglement in the context of unsupervised visual disentangled representation learning.
Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.
Achieves realistic textures by using automated texture synthesis in combination with a perceptual loss rather than focusing on optimizing for a pixel accurate reproduction of ground truth images during training. By using feed-forward fully convolutional neural networks in an adversarial training setting, this approach achieves a significant boost in image quality at high magnification ratios.
This work attempts to generate sequences of handwritten sentences using LSTM network and Mixture Model (Based on the work : https://arxiv.org/pdf/1308.0850.pdf by Alex Graves)
This is an implementation of a character-level LSTM network for language identification. Inspired from Stanford Language Identification Engine(SLIDE) : https://arxiv.org/abs/1701.03682
Open3D: A Modern Library for 3D Data Processing
A deep neural network for finding text-independent speaker embedding written in tensorflow and tensorpack
TensorFlow implementation of a 3 Layer Stacked LSTM architecture to classify speakers in VCC (2016) dataset.
Attempts to perform voice transfer, inspired by Gatys et al.'s work in image domain. Uses two pre-trained networks (Wavenet and Speaker Recognition) for perceptual style and context losses.
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.