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Name: Skanda Koppula
Type: User
Location: London, UK
Name: Skanda Koppula
Type: User
Location: London, UK
This project demonstrates how to access and test the Alexa Voice Service using a Java client (running on a Raspberry Pi), and a Node.js server.
Fast stand-alone C++ decoder for RNN-based NMT models
Implementation of a Java AI for the MIT BattleCode Competition 2014
Scraper to automate checking Craiglist's city-specific bicycles front page for your bike
[arXiv 2023] Putting the Object Back Into Video Object Segmentation
Fork of pjreddie/darknet to accomodate OPENMP=1 and no hardcoded paths
Compiler for Decaf Language (C-like Language)
PyTorch code and models for the DINOv2 self-supervised learning method.
Arbitrary Bit Weight/Activation Quantization of Using DoReFa
Tensorflow tutorial of building different dynamic recurrent neural network
Code example for tf.nn.dynamic_rnn using Tensorflow library
Trading AI for the 2015 Jane Street eth0 simulated market competition
GPGPU-Sim provides a detailed simulation model of a contemporary GPU running CUDA and/or OpenCL workloads and now includes an integrated (and validated) energy model, GPUWattch.
This is now the official location of the Kaldi project.
Collection of Arduino/Python/C code snippets for a EECS crash course taught at Korea International School
Rolling out the LaTeX resume.
Models built with TensorFlow
MQSim is a fast and accurate simulator modeling the performance of modern multi-queue (MQ) SSDs as well as traditional SATA based SSDs. MQSim faithfully models new high-bandwidth protocol implementations, steady-state SSD conditions, and the full end-to-end latency of requests in modern SSDs. It is described in detail in the FAST 2018 paper by Arash Tavakkol et al., "MQSim: A Framework for Enabling Realistic Studies of Modern Multi-Queue SSD Devices" (https://people.inf.ethz.ch/omutlu/pub/MQSim-SSD-simulation-framework_fast18.pdf)
Convert and compress Keras models into TF 8-bit quantized networks
Chrome extension to remove ads/comments/hot network questions/autoreplay from StackOverflow & Youtube
Processing application to model particles in a bi-directional, adjustable gravity fields with collision detection and motion dampening
Multi-Client/Server networked game of pinball
An LDA/PLDA estimator using KALDI in python for speaker verification tasks
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.