461 Open source projects that are alternatives of or similar to pygrams

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

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

Topic modelling on financial news with Natural Language Processing

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

An NLP tool which classifies and summarizes resumes

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…

Simple chatbot in Python using NLTK and scikit-learn

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.

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

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

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.

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

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

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

Food recommendation tool with Machine learning.

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

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

Fast and memory-efficient clustering

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

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

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:

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

a sklearn wrapper for Google's BERT model

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

Kaggle Struggle

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

MLOps Platform

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.

Convert scikit-learn models and pipelines to ONNX

PipelineAI Kubeflow Distribution

Library for Semi-Automated Data Science

🍊 📊 💡 Orange: Interactive data analysis

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

Natural Language Processing using NLTK and Spacy

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

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

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

NLP with NLTK for Sentiment analysis amazon Products Reviews

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

Machine Learning Tutorials in Python

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

Scikit-learn compatible estimation of general graphical models

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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

A repository for the R tool propeR, which analyses travel time and cost using an OTP graph (see datasciencecampus/graphite)

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

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

Stacked Generalization (Ensemble Learning)

pymc-learn: Practical probabilistic machine learning in Python

⏱ Benchmarks of machine learning inference for Go

Document classification using Latent semantic analysis in python

📓 deepleaning and cv notes.

📚 Various cheatsheets in PDF

scikit-learn compatible implementation of stability selection.

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.

Machine Learning inference engine for Microcontrollers and Embedded devices

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

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

Clustering routines for the unit sphere