RobertLuobo

Prompt-Engineering-Guide

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

git-tips

:trollface:Git的奇技淫巧

LLMSurvey

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

aima-python

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

BELLE

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

OpenBLAS

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

wenet

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

FlagAI

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

Awesome-Visual-Transformer

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

cpp-learning

remote-jobs-in-china

支持远程办公的**公司

Awesome-Crowd-Counting

Awesome Crowd Counting

tvm_mlir_learn

compiler learning resources collect.

awesome-detection-transformer

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

PLCT-Open-Reports

PLCT实验室的公开演讲，或者决定公开的组内报告

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. ⭐⭐⭐⭐⭐

Roadmap-of-DL-and-ML

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

openmixup

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

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.

CMSIS-DSP

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

tiny-training

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

ECCV-2022-Papers

Dipoorlet

Offline Quantization Tools for Deploy.

qonnx

QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX

guofei9987.github.io

个人博客，欢迎fork

tiny-transformers

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

segmentationlight

An simple and effective segmentation framework

Crawl-a-Paper

Crawl arXiv Everyday

NART

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

Algorithms