Abhishek Bhatia's starred repositories

awesome-actions

A curated list of awesome actions to use on GitHub

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

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100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

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ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

awesome-fastapi

A curated list of awesome things related to FastAPI

machine_learning_complete

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

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ploomber

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

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explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

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The-NLP-Pandect

A comprehensive reference for all topics related to Natural Language Processing

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pymc-resources

PyMC educational resources

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machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

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feature_engine

Feature engineering package with sklearn like functionality

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zingg

Scalable identity resolution, entity resolution, data mastering and deduplication using ML

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you-dont-need-a-bigger-boat

An end-to-end implementation of intent prediction with Metaflow and other cool tools

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cs329s-ml-deployment-tutorial

Code and files to go along with CS329s machine learning model deployment tutorial.

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m1-machine-learning-test

Code for testing various M1 Chip benchmarks with TensorFlow.

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Awesome-LongTailed-Learning

A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).

datascience-fails

Collection of articles listing reasons why data science projects fail.

awesome-ds-setting

A tutorial for setting a new machine with core data science tools

pdc

Process Dynamics and Control

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how-to-mlops

Curated list of resources to learn MLOPS

food-not-food

Machine Learning powered app to decide whether a photo is food or not.

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SparkDataset

Instant search for and access to many datasets in Pyspark.

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Hacktoberfest2021

Curated List of Projects for hacktoberfest 2021 and Open Source Anyone can contribute

AAAMLP

Projects from the book "Approaching (Almost) Any Machine Learning Problem". Book github at https://github.com/abhishekkrthakur/approachingalmost

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kedro-training

Find documentation and a template project for delivering Kedro training.

yaml_configuration

This is Yaml_configuration usecase project

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