100 Days of Machine and Deep Learning Code

Last update: Nov 02, 2022

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Machine Learning 100daysofmlcode

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.

GitHub Repository

Machine Learning Study 혼자 해보기

Machine Learning Study 혼자 해보기 기여자 (Contributors) ✨ Teddy Lee 🏠 HongJaeKwon 🏠 Seungwoo Han 🏠 Tae Heon Kim 🏠 Steve Kwon 🏠 SW Song 🏠 K1A2 🏠 Wooil

1.7k Jan 01, 2023

Create large-scale ML-driven multiscale simulation ensembles to study the interactions

MuMMI RAS v0.1 Released: Nov 16, 2021 MuMMI RAS is the application component of the MuMMI framework developed to create large-scale ML-driven multisca

4 Feb 16, 2022

Deploy AutoML as a service using Flask

AutoML Service Deploy automated machine learning (AutoML) as a service using Flask, for both pipeline training and pipeline serving. The framework imp

221 Nov 04, 2022

A flexible CTF contest platform for coming PKU GeekGame events

Project Guiding Star: the Backend A flexible CTF contest platform for coming PKU GeekGame events Still in early development Highlights Not configurabl

14 Dec 15, 2022

TorchDrug is a PyTorch-based machine learning toolbox designed for drug discovery

A powerful and flexible machine learning platform for drug discovery

1.1k Jan 08, 2023

A Lightweight Hyperparameter Optimization Tool 🚀

The mle-hyperopt package provides a simple and intuitive API for hyperparameter optimization of your Machine Learning Experiment (MLE) pipeline.

137 Dec 02, 2022

Both social media sentiment and stock market data are crucial for stock price prediction

Relating-Social-Media-to-Stock-Movement-Public - We explore the application of Machine Learning for predicting the return of the stock by using the information of stock returns. A trading strategy ba

15 Oct 29, 2022

Timeseries analysis for neuroscience data

=================================================== Nitime: timeseries analysis for neuroscience data ===============================================

212 Dec 09, 2022

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Horovod Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. The goal of Horovod is to make dis

12.9k Jan 07, 2023

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Python Extreme Learning Machine (ELM) Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

84 Nov 25, 2022

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

Kalo dengar istilah ML, biasanya rada ambigu. Soalnya punya beberapa kepanjangan, seperti Mobile Legend, Makan Lontong, Ma**ng L*v* dan lain-lain. Tapi pada repo ini membahas Machine Learning :)

1 Apr 06, 2022

Simple data balancing baselines for worst-group-accuracy benchmarks.

BalancingGroups Code to replicate the experimental results from Simple data balancing baselines achieve competitive worst-group-accuracy. Replicating

29 Dec 02, 2022

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Time series analysis today is an important cornerstone of quantitative science in many disciplines, including natural and life sciences as well as eco

129 Dec 24, 2022

Mesh TensorFlow: Model Parallelism Made Easier

Mesh TensorFlow - Model Parallelism Made Easier Introduction Mesh TensorFlow (mtf) is a language for distributed deep learning, capable of specifying

1.3k Dec 26, 2022

Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

25 Dec 28, 2022

100 Days of Machine and Deep Learning Code

Related tags

Overview

💯 Days of Machine Learning and Deep Learning Code

MACHINE LEARNING TOPICS COVERED - FROM SCRATCH

DEEP LEARNING TOPICS COVERED - FROM SCRATCH

TENSORFLOW/KERAS and PYTORCH [COMING SOON]

Owner

Tanishq Gautam

Machine Learning Study 혼자 해보기

Create large-scale ML-driven multiscale simulation ensembles to study the interactions

Deploy AutoML as a service using Flask

A flexible CTF contest platform for coming PKU GeekGame events

TorchDrug is a PyTorch-based machine learning toolbox designed for drug discovery

A Lightweight Hyperparameter Optimization Tool 🚀

Both social media sentiment and stock market data are crucial for stock price prediction

Timeseries analysis for neuroscience data

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

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

Simple data balancing baselines for worst-group-accuracy benchmarks.

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Mesh TensorFlow: Model Parallelism Made Easier

Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

DaCeML - Machine learning powered by data-centric parallel programming.

A unified framework for machine learning with time series

Greykite: A flexible, intuitive and fast forecasting library

🎛 Distributed machine learning made simple.

100 Days of Machine and Deep Learning Code

Related tags

Overview

💯 Days of Machine Learning and Deep Learning Code

MACHINE LEARNING TOPICS COVERED - FROM SCRATCH

DEEP LEARNING TOPICS COVERED - FROM SCRATCH

TENSORFLOW/KERAS and PYTORCH [COMING SOON]

Owner

Tanishq Gautam

Machine Learning Study 혼자 해보기

Create large-scale ML-driven multiscale simulation ensembles to study the interactions

Deploy AutoML as a service using Flask

A flexible CTF contest platform for coming PKU GeekGame events

TorchDrug is a PyTorch-based machine learning toolbox designed for drug discovery

A Lightweight Hyperparameter Optimization Tool 🚀

Both social media sentiment and stock market data are crucial for stock price prediction

Timeseries analysis for neuroscience data

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

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

Simple data balancing baselines for worst-group-accuracy benchmarks.

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

Mesh TensorFlow: Model Parallelism Made Easier

Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

DaCeML - Machine learning powered by data-centric parallel programming.

A unified framework for machine learning with time series

﻿Greykite: A flexible, intuitive and fast forecasting library

🎛 Distributed machine learning made simple.

Greykite: A flexible, intuitive and fast forecasting library