Shanmugasundaram M (mshans66)

mshans66

Geek Repo

Location:Chennai, India

Github PK Tool:Github PK Tool

Shanmugasundaram M's repositories

awesome-speech-recognition-speech-synthesis-papers

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

License:MITStargazers:0Issues:0Issues:0

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

License:CC-BY-SA-4.0Stargazers:0Issues:0Issues:0

COMS4995-s20

COMS W4995 Applied Machine Learning - Spring 20

License:CC0-1.0Stargazers:0Issues:0Issues:0

credit-card-fraud-detection

Using customer’s transaction history to detect fraudulent transactions on Think Pacific's online payment platform. Decision trees, artificial neural networks and logistic regression ML models are used to get the best accuracy.

Stargazers:0Issues:0Issues:0

Data-Analysis-with-Python

Using Python to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, and predict future trends from data! 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines with Python Data A

Stargazers:0Issues:0Issues:0

Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All!

License:MITStargazers:0Issues:0Issues:0

Data-Science-Hacks

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:0Issues:0

data-science-interviews

Data science interview questions and answers

Language:HTMLLicense:CC-BY-4.0Stargazers:0Issues:0Issues:0

data-science-portfolio-1

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

License:MITStargazers:0Issues:0Issues:0
Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Language:HTMLStargazers:0Issues:0Issues:0

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Stargazers:0Issues:0Issues:0

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

License:MITStargazers:0Issues:0Issues:0

DiabeticRetinopathyKaggleCompetition

Diabetic Retionopathy Code for Kaggle Competition involving CNN and ANN and comparing the results between them and plotting the graph and computation of Confusion Matrix

Language:PythonStargazers:0Issues:0Issues:0

kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

License:NOASSERTIONStargazers:0Issues:0Issues:0

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

Stargazers:0Issues:0Issues:0

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

Stargazers:0Issues:0Issues:0

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

License:MITStargazers:0Issues:0Issues:0

ML-YouTube-Courses

📺 A place to discover the latest machine learning courses on YouTube.

License:CC0-1.0Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

Movie_Review_Analysis

You have the data for the 100 top-rated movies from the past decade along with various pieces of information about the movie, its actors, and the voters who have rated these movies online. In this assignment, you will try to find some interesting insights into these movies and their voters, using Python. Subtask 1.1: Read the Movies Data. Read the

Language:Jupyter NotebookStargazers:0Issues:0Issues:0

PyDataset

Instant access to many datasets in Python.

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

pytorch-Deep-Learning

Deep Learning (with PyTorch)

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

speechbrain

A PyTorch-based Speech Toolkit

Language:PythonLicense:Apache-2.0Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

Web-Dev-For-Beginners

24 Lessons, 12 Weeks, Get Started as a Web Developer

License:MITStargazers:0Issues:0Issues:0

www.mlcompendium.com

The Machine Learning & Deep Learning Compendium is an open knowledge-sharing project compiled using Gitbook.

Stargazers:0Issues:0Issues:0

zenml

ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.

License:Apache-2.0Stargazers:0Issues:0Issues:0