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Name: Ashish Arora
Type: User
Name: Ashish Arora
Type: User
Applied Deep Learning
Autoencoder
automatic speech recognition paper roadmap, including HMM, DNN, RNN, CNN, Seq2Seq, Attention
Playing with various deep learning tools and network architectures
Solutions to all the questions I solved during the Competitive programming course with Coding Ninjas.
Conferencing Speech Challenge
DIVAServices Tutorial @ DAS2018
Deep learning JHU CS 482 682 assignments
Summaries, notes, questions on Deep Learning research papers.
Summaries and notes on Deep Learning research papers
Code for `DeepWriting: Making Digital Ink Editable via Deep Generative Modeling` paper
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
End-to-End Speech Processing Toolkit
Espresso: A Fast End-to-End Neural Speech Recognition Toolkit
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
python client for the freesound API
script to download the TETRA ACELP codec from ETSI and compile/install it
Solutions to problems on Interview Bit
FSA/FST algorithms, differentiable, with PyTorch compatibility.
This is now the official location of the Kaldi project.
Laia: A deep learning toolkit for HTR based on Torch
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.