354 Open source projects that are alternatives of or similar to Svm_mnist_digit_classification

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

📓 Long(er) text representation and classification using Doc2Vec embeddings

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

Credit Risk analysis by using Python and ML

Convert scikit-learn models and pipelines to ONNX

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

MLeap: Deploy ML Pipelines to Production

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

A library for machine learning research on motion capture data

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Introduction to Statistical Learning with R을 Python으로

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Materials for the course of machine learning at Imperial College organized by Yandex SDA

Machine Learning Tutorials in Python

A modular active learning framework for Python

The "Python Machine Learning (1st edition)" book code repository and info resource

Metric learning algorithms in Python

Library for Semi-Automated Data Science

🎓 Jupyter notebooks from UFC data science course

Python for chemoinformatics

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Simple implementation of sar target recognition using machine learning methods

✋ Recognizing "Hand Gestures" using OpenCV and Python.

(Deprecated) Scikit-learn integration package for Apache Spark

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

Machine Learning for High Energy Physics.

notebooks with example for machine learning examples

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

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

Nyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).

Computer vision sabbatical study materials

An intuitive library to add plotting functionality to scikit-learn objects.

Open Machine Learning Course

Code, Notebooks and Examples from Practical Business Python

Predicting forex binary options using time series data and machine learning

MLOps Platform

Alpine Container for Machine Learning

Python机器学习，机器学习入门首选。

🧙 A web app to generate template code for machine learning

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Simple chatbot in Python using NLTK and scikit-learn

Open standard for machine learning interoperability

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

General Assembly's 2015 Data Science course in Washington, DC

📓 deepleaning and cv notes.

Clustering routines for the unit sphere

Hummingbird compiles trained ML models into tensor computation for faster inference.

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

📚 Various cheatsheets in PDF

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset