vssousa

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

bert

TensorFlow code and pre-trained models for BERT

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

wttr.in

:partly_sunny: The right way to check the weather

shap

A game theoretic approach to explain the output of any machine learning model.

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

lime

Lime: Explaining the predictions of any machine learning classifier

ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

trax

Trax — Deep Learning with Clear Code and Speed

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

sktime

A unified framework for machine learning with time series

darts

A python library for user-friendly forecasting and anomaly detection on time series.

BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

pytorch-forecasting

Time series forecasting with PyTorch

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

zero-to-mastery-ml

All course materials for the Zero to Mastery Machine Learning and Data Science course.

optimum

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools

pyvmomi

VMware vSphere API Python Bindings

communitynotes

Documentation and source code powering Twitter's Community Notes

api

Pushshift API

contextualized-topic-models

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

redis-om-python

Object mapping, and more, for Redis and Python

tfcausalimpact

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

tomotopy

Python package of Tomoto, the Topic Modeling Tool

isilon_sdk

Official repository for isilon_sdk. All language bindings are available for download under the 'Releases' tab.

DS

isilon_stat_browser

OneFS Statistics Key Browser

tileshade

Tile Web Service with Datashader

NeurT-FDR

NeurT-FDR, a method for controlling false discovery rate by incorporating feature hierarchy

bitsets

Ordered subsets over a finite domain