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검색 결과 · “sparse-regression”

33 Skills

검색 결과: 33

기타

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Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when disco…

가격 미확인기타Claude Code
1.3만GitHub
브라우저 및 자동화

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Skpro

sktime

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

가격 미확인브라우저 및 자동화사용 전 검토
327GitHub
AI 및 지식

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ML From Scratch

eriklindernoren

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…

가격 미확인AI 및 지식사용 전 검토
3.2만GitHub
AI 및 지식

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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,…

가격 미확인AI 및 지식사용 전 검토
9천GitHub
데이터 분석

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FalkorDB

FalkorDB

A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (…

가격 미확인데이터 분석사용 전 검토
4.6천GitHub
데이터 분석

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Infinity

infiniflow

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

가격 미확인데이터 분석사용 전 검토
4.6천GitHub
하드웨어 및 IoT

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Objectron

google-research-datasets

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and pla…

가격 미확인하드웨어 및 IoT사용 전 검토
2.3천GitHub
하드웨어 및 IoT

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Vrn

AaronJackson

:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

가격 미확인하드웨어 및 IoT사용 전 검토
4.5천GitHub
AI 및 지식

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aeon

K-Dense-AI

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and simi…

가격 미확인AI 및 지식Claude Code
3.4만GitHub

가이드 및 비교

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