Pinned Repositories
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
audio-SNR
Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)
Audio-Tagging
Project of MS318, Deep Learning. LSTM model and gated CNN model are used to solve the audio utterance tagging task.
auraloss
Collection of audio-focused loss functions in PyTorch
awesome-machine-learning-in-compilers
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
bash-git-prompt
An informative and fancy bash prompt for Git users
Calculate-SNR-SDR
Script to calculate SNR and SDR using python
deeplearning-models
A collection of various deep learning architectures, models, and tips
denoiser
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.
Digit-recognizer-using-MNIST-data
Kaggle Competition submission
ksat19's Repositories
ksat19/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
ksat19/audio-SNR
Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)
ksat19/auraloss
Collection of audio-focused loss functions in PyTorch
ksat19/awesome-machine-learning-in-compilers
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
ksat19/bash-git-prompt
An informative and fancy bash prompt for Git users
ksat19/deeplearning-models
A collection of various deep learning architectures, models, and tips
ksat19/denoiser
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.
ksat19/Digit-recognizer-using-MNIST-data
Kaggle Competition submission
ksat19/EE-769-Assignments
Repository of curated machine learning methods
ksat19/pydct
Short-Time Discrete Cosine Transform (DCT) for Python. SciPy, TensorFlow and PyTorch implementations.
ksat19/pysepm
Python implementation of performance metrics in Loizou's Speech Enhancement book
ksat19/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
ksat19/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
ksat19/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
ksat19/generative-ai
All codes related to Generative AI
ksat19/git-guide
Practical guide to everyday Git commands
ksat19/LInkedin-job-bot
A bot that scrapes your jobs in real time, sort them according to preferences and runs an alert
ksat19/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
ksat19/llmperf-leaderboard
ksat19/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
ksat19/Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
ksat19/outlines
Structured Text Generation
ksat19/practicing_git
ksat19/professional-programming
A collection of learning resources for curious software engineers
ksat19/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
ksat19/speech-enhancement
Collection of papers, datasets and tools on the topic of Speech Dereverberation and Speech Enhancement
ksat19/Speech-Separation-Paper-Tutorial
A must-read paper for speech separation based on neural networks
ksat19/Style-Matching-Contrastive-Speech-Enhancement
ksat19/torch-metrics
Metrics for model evaluation in pytorch
ksat19/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.