RobertLuobo

RobertLuobo

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LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

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tvm_mlir_learn

compiler learning resources collect.

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Dipoorlet

Offline Quantization Tools for Deploy.

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NART

NART = NART is not A RunTime, a deep learning inference framework.

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BELLE

BELLE: Be Everyone's Large Language model Engine(开源中文对话大模型)

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Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

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tiny-training

On-Device Training Under 256KB Memory [NeurIPS'22]

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qonnx

QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX

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aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

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CMSIS-DSP

CMSIS-DSP embedded compute library for Cortex-M and Cortex-A

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tiny-transformers

[ECCV 2022] Implementation of the paper "Locality Guidance for Improving Vision Transformers on Tiny Datasets"

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git-tips

:trollface:Git的奇技淫巧

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openmixup

CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

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PLCT-Open-Reports

PLCT实验室的公开演讲,或者决定公开的组内报告

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Roadmap-of-DL-and-ML

Roadmap of DL and ML, some courses, study notes and paper summary

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OpenBLAS

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

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Awesome-Visual-Transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

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FlagAI

FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

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Crawl-a-Paper

Crawl arXiv Everyday

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segmentationlight

An simple and effective segmentation framework

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NASLib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

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awesome-detection-transformer

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

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remote-jobs-in-china

支持远程办公的**公司

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guofei9987.github.io

个人博客,欢迎fork

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wenet

Production First and Production Ready End-to-End Speech Recognition Toolkit

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Awesome-Crowd-Counting

Awesome Crowd Counting

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awesome_lightweight_networks

The implementation of various lightweight networks by using PyTorch. such as:MobileNetV2,MobileNeXt,GhostNet,ParNet,MobileViT、AdderNet,ShuffleNetV1-V2,LCNet,ConvNeXt,etc. ⭐⭐⭐⭐⭐

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