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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-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

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

ee-769-assignments

Repository of curated machine learning methods

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.

generative-ai

All codes related to Generative AI

git-guide

Practical guide to everyday Git commands

leetcode_company_frequency

Collection of leetcode company tag problems. Periodically updating.

linkedin-job-bot

A bot that scrapes your jobs in real time, sort them according to preferences and runs an alert

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

llmperf-leaderboard

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

outlines

Structured Text Generation

practicing_git

professional-programming

A collection of learning resources for curious software engineers

prompt-engineering-guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

pydct

Short-Time Discrete Cosine Transform (DCT) for Python. SciPy, TensorFlow and PyTorch implementations.

pysepm

Python implementation of performance metrics in Loizou's Speech Enhancement book

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorchconvsep

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.

speech-enhancement

Collection of papers, datasets and tools on the topic of Speech Dereverberation and Speech Enhancement