Taichi TAKAYAMA's starred repositories

farmvibes-ai

FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

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litdata

Transform datasets at scale. Optimize datasets for fast AI model training.

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mesop

Build delightful web apps quickly in Python

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multi-temporal-crop-classification-training-data

This repository contains the pipeline for generating a training dataset for land cover and crop type segmentation using USDA CDL data.

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orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

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causalml

Uplift modeling and causal inference with machine learning algorithms

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SatViT

Project directory for self-supervised training of multi-spectral optical and SAR vision transformers!

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ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

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deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

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auswahl

Collection of Feature Selection Methods for Near-Infrared Spectroscopy

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fracdiff

Compute fractional differentiation super-fast. Processes time-series to be stationary while preserving memory. cf. "Advances in Financial Machine Learning" by M. Prado.

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amundsen

Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

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barcode-server

A simple daemon to expose USB Barcode Scanner data to other services using Websockets, Webhooks or MQTT.

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asdreader

sample code to parse data from ASD files

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tanager-feeder

Control software for a Three-Axis N-sample Automated Goniometer for Evaluating Reflectance

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spectrochempy

SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python

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awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

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hls-foundation-os

This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

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Segment-Anything-Model-for-Geospatial-otemachi-example

Segment Anything Model for Geospatia lotemachi example for Japanese.

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gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

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pygwalker

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

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stlite

Serverless Streamlit 🎈🚀

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Ascender

Accelerator of Scientific Development and Research. A project template developed by XCCV group of cvpaper.challenge.

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trax

Trax — Deep Learning with Clear Code and Speed

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awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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metaflow-service

:rocket: Metadata tracking and UI service for Metaflow!

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