100 Days of Machine and Deep Learning Code

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Machine Learning100daysofmlcode
Overview

💯 Days of Machine Learning and Deep Learning Code

MACHINE LEARNING TOPICS COVERED - FROM SCRATCH

  • Linear Regression
  • Logistic Regression
  • K Means Clustering
  • K Nearest Neighbours
  • Naive Bayes
  • Support Vector Machine [TODO]

DEEP LEARNING TOPICS COVERED - FROM SCRATCH

  • Neural Networks

TENSORFLOW/KERAS and PYTORCH [COMING SOON]

Owner
Tanishq Gautam
Don’t be intimidated by jargon.
Tanishq Gautam
GitHub Repository
Bottleneck a collection of fast, NaN-aware NumPy array functions written in C.

Bottleneck Bottleneck is a collection of fast, NaN-aware NumPy array functions written in C. As one example, to check if a np.array has any NaNs using

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A collection of interactive machine-learning experiments: 🏋️models training + 🎨models demo

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

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Kubeflow is a machine learning (ML) toolkit that is dedicated to making deployments of ML workflows on Kubernetes simple, portable, and scalable.

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

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The Fuzzy Labs guide to the universe of open source MLOps

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A Time Series Library for Apache Spark

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MiniTorch - a diy teaching library for machine learning engineers

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Distributed scikit-learn meta-estimators in PySpark

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PLUR is a collection of source code datasets suitable for graph-based machine learning.

PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. We provide scripts for downloading, processing, and loading the

Google Research 76 Nov 25, 2022
Python module for machine learning time series:

seglearn Seglearn is a python package for machine learning time series or sequences. It provides an integrated pipeline for segmentation, feature extr

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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

eXtreme Gradient Boosting Community | Documentation | Resources | Contributors | Release Notes XGBoost is an optimized distributed gradient boosting l

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PySpark ML Bank Churn Prediction

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Data science, Data manipulation and Machine learning package.

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Uplift modeling and causal inference with machine learning algorithms

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Lseng-iseng eksplor Machine Learning dengan menggunakan library Scikit-Learn

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Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

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Lingtrain Alignment Studio is an ML based app for texts alignment on different languages.

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using Machine Learning Algorithm to classification AppleStore application

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Confidence intervals for scikit-learn forest algorithms

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