Joydeep Ghatak (Joydeep75)

Joydeep75

Geek Repo

Company:TCS

Location:Indianapolis, USA

Home Page:https://www.linkedin.com/in/joydeep-ghatak-793a2a7/

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Joydeep Ghatak's repositories

orchest

Build data pipelines, the easy way 🛠️

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sqlpad

Web-based SQL editor run in your own private cloud. Supports MySQL, Postgres, SQL Server, Vertica, Crate, ClickHouse, Trino, Presto, SAP HANA, Cassandra, Snowflake, BigQuery, SQLite, and more with ODBC

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GFPGAN

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

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gradsflow

An open-source AutoML Library in PyTorch

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deep_autoviml

Build tensorflow keras model pipelines in a single line of code. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

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qiskit-machine-learning

Quantum Machine Learning

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Annotated-ML-Papers

Annotations of the interesting ML papers I read

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mercantile

Spherical mercator tile and coordinate utilities

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

analytics

Simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics.

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drawdata

Draw datasets from within Jupyter.

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validations

blue kale validation repo for training

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SDV

Synthetic Data Generation for tabular, relational and time series data.

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ml_6036_2020_captions

Captions for the 6.036 Introduction to Machine Learning (Fall 2020) lecture videos

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trax

Trax — Deep Learning with Clear Code and Speed

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coronavirus

The coronavirus dataset

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applied-ml

📚 Papers of companies sharing their work on applied data science & machine learning.

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ML-foundations

Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science

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Byte-by-Byte-Solutions

Coding interview questions and solutions

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AI-for-Healthcare-Nanodegree

Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and segmenting 2D and 3D medical images to augment diagnosis and then move on to modeling patient outcomes with electronic health records to optimize clinical trial testing decisions. Finally, build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.

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lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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JG_pycaret

Testing PyCaret for future use

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