ksat19 Goto Github PK
Name: Satyam
Type: User
Company: IIT Bombay
Location: Mumbai
Name: Satyam
Type: User
Company: IIT Bombay
Location: Mumbai
This repo contains annotated research papers that I found really good and useful
Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)
Project of MS318, Deep Learning. LSTM model and gated CNN model are used to solve the audio utterance tagging task.
Collection of audio-focused loss functions in PyTorch
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
An informative and fancy bash prompt for Git users
Script to calculate SNR and SDR using python
A collection of various deep learning architectures, models, and tips
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.
Kaggle Competition submission
Repository of curated machine learning methods
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
All codes related to Generative AI
Practical guide to everyday Git commands
Collection of leetcode company tag problems. Periodically updating.
A bot that scrapes your jobs in real time, sort them according to preferences and runs an alert
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A resource for learning about Machine learning & Deep Learning
Learn how to responsibly develop, deploy and maintain production machine learning applications.
Structured Text Generation
A collection of learning resources for curious software engineers
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Short-Time Discrete Cosine Transform (DCT) for Python. SciPy, TensorFlow and PyTorch implementations.
Python implementation of performance metrics in Loizou's Speech Enhancement book
PyTorch Tutorial for Deep Learning Researchers
A Deep Learning approach for source/signal separation. Uses Pytorch as a framework, and performs source separation using CNNs combined to build an Autoencoder. It contains the code to Train + Evaluate + Test the source separation, with the trained models. The MusDB was used to train the network.
Collection of papers, datasets and tools on the topic of Speech Dereverberation and Speech Enhancement
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.