Topic: pre-trained Goto Github
Some thing interesting about pre-trained
Some thing interesting about pre-trained
pre-trained,Identification of Species of Medicinal Leaves using a pre-trained CNN model
User: akshupande
Home Page: https://github.com/akshupande/Identification-Of-Species-Of-Medicinal-Leaves.git
pre-trained,Different types of word embedding for text processing
User: arynas
pre-trained,A collection of Audio and Speech pre-trained models.
User: balavenkatesh3322
pre-trained,
User: ben10ben
pre-trained,A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
User: brightmart
Home Page: https://arxiv.org/pdf/1909.11942.pdf
pre-trained,RoBERTa中文预训练模型: RoBERTa for Chinese
User: brightmart
pre-trained,Text Mining develops methods for accessing information in and extracting knowledge from large volumes of text. The purpose of this repository is to research on classification of fake/real news on a dataset obtained from kaggle
User: chayansraj
pre-trained,BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
User: cliang1453
pre-trained,TensorFlow implementation of GoogLeNet and Inception for image classification.
User: conan7882
pre-trained,A TensorFlow implementation of VGG networks for image classification
User: conan7882
pre-trained,ImageNet pre-trained models with batch normalization for the Caffe framework
Organization: cvjena
Home Page: https://arxiv.org/abs/1612.01452
pre-trained,Tensorflow Keras based pre-trained model to predict gender and ethnicity of Indian Names using Python
User: devssh
pre-trained,DLTK Model Zoo
Organization: dltk
Home Page: https://dltk.github.io/
pre-trained, [this repo is no longer maintained] Neural Network image classifier (inception-bn network architecture), developed via MxNet
User: dneprdroid
pre-trained,EMNLP 2020 GigaBERT Arabic Relation extraction system, named entity recognition, IE
User: edchengg
pre-trained,Played with Tensorspace a library for Neural network 3D visualization, building interactive and intuitive models in browsers, supports pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
Organization: edmonton-school-of-ai
pre-trained,Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
User: elcorto
Home Page: https://elcorto.github.io/imagecluster
pre-trained,Pre-trained Neural Network models in Axon (+ 🤗 Models integration)
Organization: elixir-nx
pre-trained,Image Classification via Transfer Learning: Using Pre-trained Densely Connected Convolutional Network (DenseNet) weights
User: hmohebbi
pre-trained,Contrast multiple facial expression recognition experiments and found that using SVM instead of softmax layer can achieve better classification results(65.47% accuracy on fer2013 dataset).
User: hxer7963
pre-trained,:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
User: imfing
pre-trained,Example on how to use pre trained networks on new classification problems.
Organization: innolitics
pre-trained,IndoELECTRA: Pre-Trained Language Model for Indonesian Language Understanding
User: kingmetaa
pre-trained,Including pre-trained language models for fine-tuning on other NLP tasks
User: l11x0m7
pre-trained,Dataset and code for "Label-Wise Document Pre-Training for Multi-Label Text Classification" (NLPCC 2020)
User: laddie132
pre-trained,Pretrained model for Chinese Scientific Text
User: lvyufeng
pre-trained,Materials for Sentiment Analysis with Python in "Taller en Data Science" by UCOM
User: mmaguero
Home Page: http://www.ucom.edu.py/eventos/taller-de-data-science/
pre-trained,Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
Organization: nearthlab
Home Page: http://nearthlab.com/en/
pre-trained,Easy to use neural networks for NVIDIA Jetson (and desktop too!)
Organization: nvidia-ai-iot
pre-trained,A CNN classifier using Keras and data augmentation, and comparison with pre-trained networks
User: nvmoyar
pre-trained,OpenAIA Documentation
Organization: openaia
pre-trained,Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟
User: pistony
pre-trained,
User: progamergov
pre-trained,Pretrained on ImageNet ResNet-152 model in Keras
User: qubvel
pre-trained,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
User: qubvel
pre-trained,Pre-train Embedding in LightFM Recommender System Framework
User: rahmanidashti
pre-trained,VGG16 architecture with BatchNorm
User: revilokeb
pre-trained,Implementation of a neural network for solving the problem of mushroom classification based on the TensorFlow library and the pre-trained efficientnet/b0 model.
User: ruddanil
pre-trained,Pre-trained VGG-Net Model for image classification using tensorflow
User: sakhrihoussem
pre-trained,Pre-trained word embeddings for Romanian and Romanian list of inflected forms
User: senisioi
pre-trained,
User: stevenhuang2020
pre-trained,MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
User: szq0214
pre-trained,Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports. Accurate extraction of satellite and instrument entities from these unstructured texts can help to link and reuse Earth observation resources.
Organization: thu-esis
Home Page: https://doi.org/10.1080/17538947.2022.2107098
pre-trained,Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim
User: tomrunia
pre-trained,Pre-trained Image Classifier to Identify Dog Breeds
User: usabimana
pre-trained,A speaker gender classifier. MFC feature engineering and a pre-trained ResNet-50. GradCAM interpretation.
User: zhihanyang2022
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