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Thiya's Projects

yake icon yake

Single-document unsupervised keyword extraction

yalm-100b icon yalm-100b

Pretrained language model with 100B parameters

yanmtt icon yanmtt

Yet Another Neural Machine Translation Toolkit

yappi icon yappi

Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.

yarl icon yarl

Yet another URL library

yarn icon yarn

YaRN: Efficient Context Window Extension of Large Language Models

yayi2 icon yayi2

YAYI 2 是中科闻歌研发的新一代开源大语言模型,采用了超过 2 万亿 Tokens 的高质量、多语言语料进行预训练。(Repo for YaYi 2 Chinese LLMs)

yellowbrick icon yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

yi icon yi

A series of large language models trained from scratch by developers @01-ai

yival icon yival

AI evaluation tool for streamlined and comprehensive comparison of prompts, models, and parameters across various modalities

yolopv2 icon yolopv2

YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception

yolor icon yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolos icon yolos

You Only Look at One Sequence (NeurIPS 2021)

yolov5 icon yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-face icon yolov5-face

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)

yolov5-rt-stack icon yolov5-rt-stack

yolort is a runtime stack for yolov5 on specialized accelerators such as libtorch, onnxruntime, tensorrt, tvm and ncnn.

yolov5_obb icon yolov5_obb

yolov5 + csl_label.(Oriented Object Detection)(Rotation Detection)(Rotated BBox)基于yolov5的旋转目标检测

yolov5_tf icon yolov5_tf

Yolov5/Yolov4/ Yolov3/ Yolo_tiny in tensorflow

yolov6 icon yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial application.

yolov7 icon yolov7

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

yolov7-1 icon yolov7-1

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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