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Name: Kunasi Ramesh
Type: User
Location: Hyderabad
Name: Kunasi Ramesh
Type: User
Location: Hyderabad
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Audio super resolution using neural networks
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
Simple neural network implementation using CUDA technology. It is an educational implementation.
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
ML_tutorials
Deep Learning (Python, C/C++, Java)
Course materials for the Coursera MOOC: Digital Signal Processing from Ecole Polytechnique Federale de Lausanne
This package implements Dynamic Time Warping (DTW).
My solution to course E6870 (Speech Recognition) of Columbia University.
Pitch tracking algorithm based on David Talkin's RAPT. Code is modified from the ESPS package.
David Talkin's pitch tracker, get_f0, modified to be a stand-alone binary using dpwelib for sound I/O
Hand Written Digit Recognition using Convolutional Neural Network
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接
Meta-embeddings are a probabilistic generalization of embeddings in machine learning.
Machine Learning Sound Classifier
Noise reduction in python using spectral gating (speech, bioacoustics, time-domain signals)
a standalone pitch extractor
Speech enhancement by time-varying pitch-dependent filtering of harmonics
This is a implementation of kaldi-plda.
Latex code for making neural networks diagrams
Speech Model Pre-training for End-to-End Spoken Language Understanding
A pitch tracker inspired by David Talkin's RAPT (Robust Algorithm for Pitch Tracking) written in Python.
Deep speaker embeddings in PyTorch, including x-vectors
Speech and Language Processing, 2nd Edition in PDF format
Evaluation and Benchmarking of Speech Super-resolution Methods
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.