tmontana's Stars
sktime/sktime
A unified framework for machine learning with time series
Bayesnote/Bayesnote
A frictionless integrated platform for notebook
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
Neuraxio/Neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
online-ml/river
🌊 Online machine learning in Python
clips/pattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
scikit-learn-contrib/metric-learn
Metric learning algorithms in Python
apache/superset
Apache Superset is a Data Visualization and Data Exploration Platform
AutoViML/AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
scikit-multiflow/scikit-multiflow
A machine learning package for streaming data in Python. The other ancestor of River.
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
stanfordmlgroup/ngboost
Natural Gradient Boosting for Probabilistic Prediction
jamesturk/jellyfish
🪼 a python library for doing approximate and phonetic matching of strings.
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
facebookresearch/DrQA
Reading Wikipedia to Answer Open-Domain Questions
bukosabino/ta
Technical Analysis Library using Pandas and Numpy
cortexlabs/cortex
Production infrastructure for machine learning at scale
vaexio/vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
nicodv/kmodes
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
scitime/scitime
Training time estimation for scikit-learn algorithms
mgrankin/fast_tabnet
TabNet for fastai
elyra-ai/elyra
Elyra extends JupyterLab with an AI centric approach.
google-research/google-research
Google Research
google-research/tapas
End-to-end neural table-text understanding models.
pycaret/pycaret
An open-source, low-code machine learning library in Python
dreamquark-ai/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
koursaros-ai/nboost
NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
microsoft/petridishnn
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
google-research/text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"