sekhar's Projects
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
A curated list of awesome Python frameworks, libraries, software and resources
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
AWS zero to hero repo for devops engineers to learn AWS in 30 Days. This repo includes projects, presentations, interview questions and real time examples.
:books: books
ibm bluemix conversation service with front end deployed in bluemix
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
code for Data Science From Scratch book
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
This is an end to end document question and answer system model
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
This repo helps to scrape the jobs description from the Linkedin so that you can utilise it for your ATS
A complete daily plan for studying to become a machine learning engineer.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Natural Language Processing Tutorial for Deep Learning Researchers
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
this is for practice only
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering