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中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
State-of-the-art 2D and 3D Face Analysis Project
Image-to-Image Translation in PyTorch
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型,实现了包括增量预训练(PT)、有监督微调(SFT)、RLHF、DPO、ORPO、GRPO。
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
中文古诗自动作诗机器人,x炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新!
[CVPR19/TPAMI23] SiamMask: A Framework for Fast Online Object Tracking and Segmentation
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
在 oxford hand 数据集上对 YOLOv3 做模型剪枝(network slimming)
yolov3 yolov4 channel and layer pruning, Knowledge Distillation 层剪枝,通道剪枝,知识蒸馏
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)
A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018
Generate a quantization parameter file for ncnn framework int8 inference
Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018)
PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)
cascaded convolutional neural network for facial point detection
这是一个retinaface-pytorch的源码,可以用于训练自己的模型。
本项目是针对医疗数据,进行命名实体识别。项目中有600份标注好的电子病历文本,共需识别含解剖部位、独立症状、症状描述、手术和药物五类实体。该领域的命名实体识别问题是自然语言处理中经典的序列标注问题。
soloist-v / yolov5_for_rknn
Forked from ultralytics/yolov5YOLOv5 in PyTorch > ONNX > RKNN