Merve's starred repositories

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ML-Papers-of-the-Week

🔥Highlighting the top ML papers every week.

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Pointnet_Pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

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Daily-Dose-of-Data-Science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

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Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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deep-learning-drizzle

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

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ML-For-Beginners

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

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data-science-interviews

Data science interview questions and answers

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ik

Inverse Kinematic code for Python and MicroPython

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500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

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Exploratory-Data-Analysis-2

This repository contains code for exploratory data analysis and machine learning on different datasets.

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wine-ml-on-aws-lambda

Training and running a Machine Learning Regression Model on AWS Lambda with Scikit Learn

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neural-style-transfer

Implementing neural style transfer algorithm with Tensorflow, and testing it on my painting.

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handcalcs

Python library for converting Python calculations into rendered latex.

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pytorch-widedeep

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

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nevergrad

A Python toolbox for performing gradient-free optimization

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av-2022

Workshop for Analytics Vidhya July 2022

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smart_open

Utils for streaming large files (S3, HDFS, gzip, bz2...)

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customer_segmentation

An end-to-end project on customer segmentation

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notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

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deepchecks

Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort. See our docs: https://docs.deepchecks.com

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GFPGAN

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

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Data-Science-Cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

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mimic_NLP

Stroke analysis from MIMIC III dataset with multiple NLP modules.

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Coursera-ML-AndrewNg

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

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mavinai-misinformation-classifier

Omdena + Mavin AI news article misinformation and bias estimator

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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