378 Open source projects that are alternatives of or similar to Nolearn

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

A collection of all projects pertaining to different layers in the SDC software stack

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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

Using machine learning libraries to analyze NBA data

Credit Risk analysis by using Python and ML

An unsupervised analysis combining topic modeling and clustering to preserve an individuals work history and credentials while tailoring their resume towards a new career field

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

Dockerize and deploy machine learning model as REST API using Flask

MLeap: Deploy ML Pipelines to Production

model-describer : Making machine learning interpretable to humans

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

Implementations of machine learning algorithm by Python 3

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

Feature engineering package with sklearn like functionality

Introduction to Statistical Learning with R을 Python으로

A clustering tutorial with scikit-learn for beginners.

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

📖 [译] scikit-learn（sklearn） 中文文档

A modular active learning framework for Python

Software platform for clinical neuroimaging studies

Metric learning algorithms in Python

Use AI to generate a optimized stock portfolio

🎓 Jupyter notebooks from UFC data science course

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

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

Automated Machine Learning with scikit-learn

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

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

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

A python library to build Model Trees with Linear Models at the leaves.

Simple implementation of sar target recognition using machine learning methods

📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.

(Deprecated) Scikit-learn integration package for Apache Spark

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

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

Python for chemoinformatics

notebooks with example for machine learning examples

Questions, Help, and Issues for Comet ML

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

<Do it! 딥러닝 입문> 도서의 주피터 노트북

Computer vision sabbatical study materials

Probably the best curated list of data science software in Python.

Open Machine Learning Course

(Python) transform a document-term matrix to an Okapi/BM25 representation

Predicting forex binary options using time series data and machine learning

Soccer Matches Predictor using Machine Learning

Alpine Container for Machine Learning

Predict materials properties using only the composition information!

🧙 A web app to generate template code for machine learning

custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

Theano implementation of XNOR-Net

Genetic Programming in Python, with a scikit-learn inspired API

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Samples and Tools for Windows ML.

A machine learning package for streaming data in Python. The other ancestor of River.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

A library for debugging/inspecting machine learning classifiers and explaining their predictions