言葉 (GitHub30)

GitHub30

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Location:Osaka, Japan

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言葉's starred repositories

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Length-and-Compositional-Generalization

Scripts to reproduce experiments in https//arxiv.org/pdf/2402.04875.

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RTX-AI-Toolkit

The NVIDIA RTX™ AI Toolkit is a suite of tools and SDKs for Windows developers to customize, optimize, and deploy AI models across RTX PCs and cloud.

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workbench-llamafactory

This is an NVIDIA AI Workbench example project that demonstrates an end-to-end model development workflow using Llamafactory.

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hand_tracking_toolkit

This repository contains utilities for loading data from Meta's datasets with hand pose annotations, computing hand tracking metrics, and visualising results of a hand tracking method.

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openai-dotnet

The official .NET library for the OpenAI API

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labs-tape

Tape is for packaging applications

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cruel_and_cool

Code for "The cool and the cruel: separating hard parts of LWE secrets"

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UVOSAM

The official repository of UVOSAM

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EffiVED

The official repository of EffiVED

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ACE

NVIDIA ACE samples, workflows, and resources

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lagrangian-ot

Neural Optimal Transport with Lagrangian Costs

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recsys_multistage_personalization

Code demonstrating the methods described in the KDD2024 paper "Achieving a better tradeoff in multi-stage recommender systems through personalization"

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DePALM

Code accompanying our paper "Improved Baselines for Data-efficient Perceptual Augmentation of LLMs"

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mowst-gnn

Open source the mowst-GNN models published in ICLR 2024 https//openreview.net/pdf?id=wYvuY60SdD

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nvidia-hpcg

NVIDIA HPCG is based on the HPCG benchmark and optimized for performance on NVIDIA accelerated HPC systems.

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3DGM

Official PyTorch implementation of 3D Gaussian Mapping (3DGM)

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data-protobuf-go

Go support for Google's protocol buffers

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ECSGalaxySample

ECS sample demonstrating an automated simulation of teams of spaceships fighting for the control of planets

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nim-deploy

A collection of YAML files, Helm Charts, Operator code, and guides to act as an example reference implementation for NVIDIA NIM deployment.

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mm-diff

MM-Diff: High-Fidelity Image Personalization via Multi-Modal Condition Integration

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