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The Wayback Machine - https://web.archive.org/web/20210610033619/https://github.com/topics/pre-trained
Here are
41 public repositories
matching this topic...
Awesome pre-trained models toolkit based on PaddlePaddle.(300+ models including Image, Text, Audio and Video with Easy Inference & Serving deployment)
Updated
Jun 10, 2021
Python
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
Updated
Oct 22, 2020
Python
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Updated
May 18, 2021
Python
RoBERTa中文预训练模型: RoBERTa for Chinese
Updated
Jun 29, 2020
Python
😺 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.
Updated
Jun 8, 2021
JavaScript
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
Updated
Mar 22, 2021
Python
ImageNet pre-trained models with batch normalization for the Caffe framework
Updated
Nov 26, 2017
Python
TensorFlow implementation of GoogLeNet and Inception for image classification.
Updated
Mar 11, 2020
Python
Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim
Updated
May 9, 2018
Python
Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.
Updated
Oct 30, 2020
Python
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
Updated
Jun 2, 2021
Python
Updated
Jun 17, 2018
Jupyter Notebook
A collection of Audio and Speech pre-trained models.
[this repo is no longer maintained] Neural Network image classifier (inception-bn network architecture), developed via MxNet
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
Updated
Nov 5, 2019
Python
Pretrained model for Chinese Scientific Text
Pre-trained VGG-Net Model for image classification using tensorflow
Updated
Oct 15, 2018
Python
Example on how to use pre trained networks on new classification problems.
Updated
Oct 3, 2018
Python
VGG16 architecture with BatchNorm
A TensorFlow implementation of VGG networks for image classification
Updated
Jan 10, 2019
Python
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
Updated
Jan 20, 2019
JavaScript
Pre-train Embedding in LightFM Recommender System Framework
Updated
Apr 28, 2019
Python
Dataset and code for "Label-Wise Document Pre-Training for Multi-Label Text Classification" (NLPCC 2020)
Updated
Aug 18, 2020
Python
Zero-shot Transfer Learning from English to Arabic
Updated
Apr 14, 2021
Python
Pretrained on ImageNet ResNet-152 model in Keras
Updated
May 12, 2018
Python
Including pre-trained language models for fine-tuning on other NLP tasks
Updated
Apr 22, 2019
Python
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).
Updated
Jun 8, 2018
Jupyter Notebook
Updated
May 13, 2019
Jupyter Notebook
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Thanks for your great work!
Could you please share the influence of the batch size and the number of GPUs?
Also how to choose a suitable learning rate and batch size if the available GPUs is not enough.
Thank you!