354 Open source projects that are alternatives of or similar to Pymc Learn

Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

Public reusable components for Polyaxon

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…

Extracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence

I am taking up the #100DaysOfMLCode Challenge 😎

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

A basic introduction to machine learning (one day training).

⏱ Benchmarks of machine learning inference for Go

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

PipelineAI Kubeflow Distribution

A docker-based starter kit for machine learning via jupyter notebooks. Designed for those who just want a runtime environment and get on with machine learning. Docker tags:

Applying machine learning to predict loan charge-offs on LendingClub.com

A scikit-learn compatible library for anomaly detection

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

All the slides, accompanying code and exercises all stored in this repo. 🎈

🍊 📊 💡 Orange: Interactive data analysis

Porn images detector with python, tensorflow, scikit-learn and opencv.

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

a delightful machine learning tool that allows you to train, test, and use models without writing code

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Kaggle Struggle

MNIST digit classification with scikit-learn and Support Vector Machine (SVM) algorithm.

📓 deepleaning and cv notes.

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.

Clustering routines for the unit sphere

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

基于情感字典和机器学习的股市舆情情感分类可视化Web

MLOps Platform

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

Convert scikit-learn models and pipelines to ONNX

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

Library for Semi-Automated Data Science

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

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

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

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

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

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

Fast and memory-efficient clustering

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

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Machine Learning Tutorials in Python

a sklearn wrapper for Google's BERT model

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

Scikit-learn compatible estimation of general graphical models

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

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

The "Python Machine Learning (3rd edition)" book code repository

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

Stacked Generalization (Ensemble Learning)

Sequential model-based optimization with a `scipy.optimize` interface