mvahit

mvahit's Stars

• microsoft/ML-For-Beginners

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

  Language:HTML69.6k1k13514.4k

• GokuMohandas/Made-With-ML

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

  Language:Jupyter Notebook37.3k1.2k735.9k

• TencentARC/GFPGAN

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

  Language:Python35.8k5084755.9k

• datasciencemasters/go

  The Open Source Data Science Masters

  25k1.6k566.2k

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python23.7k4162944.3k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook21.8k5072358.4k

• Python-World/python-mini-projects

  A collection of simple python mini projects to enhance your python skills

  Language:Python14.9k2851844.9k

• cupy/cupy

  NumPy & SciPy for GPU

  Language:Python9.4k1282.3k846

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k144448729

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python4.9k80186537

• GokuMohandas/mlops-course

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

  Language:Jupyter Notebook3k5519513

• danpaquin/coinbasepro-python

  The unofficial Python client for the Coinbase Pro API

  Language:Python1.8k134309731

• krishnaik06/Feature-Engineering-Live-sessions

  Language:Jupyter Notebook407271547

• databricks/spark-training

  Apache Spark training material

  Language:Scala402812355

• KevinLiao159/MyDataSciencePortfolio

  Applying Data Science and Machine Learning to Solve Real World Business Problems

  Language:Jupyter Notebook398164225

• kying18/beginner-projects

  Language:Python365211256

• dmalan/cs50-section-examples

  Language:C19827085

• krishnaik06/Stock-Price-Prediction-using-Keras-and-Recurrent-Neural-Networ

  Stock Price Prediction case study using Keras

  Language:Python163172185

• krishnaik06/Deep-Learning-Car-Brand

  Language:Jupyter Notebook1104199

• R3gm/InsightSolver-Colab

  InsightSolver: Colab notebooks for exploring and solving operational issues using deep learning, machine learning, and related models.

  Language:Jupyter Notebook884127

• melihbodur/Text_and_Audio_classification_with_Bert

  Text Classification in Turkish Texts with Bert

  Language:Jupyter Notebook47206

• tevfikaytekin/data_science

  Language:Jupyter Notebook474110

• AhmetFurkanDEMIR/Python-Workouts

  Python Workouts

  Language:Python42411

• whyboris/ml-with-python-and-keras

  Based off Deep Learning with Python by François Chollet

  Language:Jupyter Notebook414025

• kying18/text-messages

  Send your friends AUTOMATED text messages from your Mac. Inspired by the bee movie tik tok that went viral.

  Language:Python374014

• fatihes1/TensorFlow-TR

  Udacity Tensorflow ile Derin Öğrenme eğitimi sırasında üzerinde çalıştığım colab dosyalarını içermektedir.

  Language:Jupyter Notebook312

• ThinamXx/MachineLearning__Algorithms

  I am working on implementing Machine Learning Algorithms from scratch.

  Language:Jupyter Notebook12201

• dogudogru/whatsapp_analyzer

  Examining the underlying data of Whatsapp conversations in detail and presenting them to the user in an entertaining way

  Language:Python11101

• ethanbond64/Algotrading_Medium

  Simple Algotrading Template

  Language:Python9316

• b-erke/Spotify-Recommendation-System

  A Music Recommendation System using Spotify Dataset

  Language:Jupyter Notebook7