Norikazu68's Stars
mapbox/mapboxgl-jupyter
Use Mapbox GL JS to visualize data in a Python Jupyter notebook
mlflow/mlflow
Open source platform for the machine learning lifecycle
HKUDS/LightRAG
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
valeman/awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
henrikbostrom/crepes
Python package for conformal prediction
mher/flower
Real-time monitor and web admin for Celery distributed task queue
aws-samples/aws-ml-enablement-workshop
組織横断的にチームを組成し、機械学習による成長サイクルを実現する計画を立てるワークショップ
adap/flower
Flower: A Friendly Federated AI Framework
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
ndphillips/FFTrees
An R package to create and visualise fast-and-frugal decision trees (FFTs)
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
mfarragher/obsidiantools
Obsidian tools - a Python package for analysing an Obsidian.md vault
salesforce/causalai
Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
sdv-dev/SDV
Synthetic data generation for tabular data
business-science/pytimetk
Time series easier, faster, more fun. Pytimetk.
scikit-learn-contrib/MAPIE
A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.
deepset-ai/haystack
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
Azure-Samples/azure-open-ai-embeddings-qna
A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3 to extract the matching answer for the question.
explodinggradients/ragas
Supercharge Your LLM Application Evaluations 🚀
instructor-ai/instructor
structured outputs for llms
autonlab/auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
coin-or/pulp
A python Linear Programming API
cog-imperial/OMLT
Represent trained machine learning models as Pyomo optimization formulations
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
salesforce/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
fairlearn/fairlearn
A Python package to assess and improve fairness of machine learning models.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.