tripletloss
FaceNet-like model trainer
A Caffe-based implementation of the triplet loss function used in Google's FaceNet paper for training and fine-tuning deep neural networks.
tripletloss in caffe
322 stars
31 watching
152 forks
Language: Python
last commit: over 7 years ago
Linked from 1 awesome list
michaelxin/awesome-caffeRelated projects:
| Repository | Description | Stars |
|---|---|---|
 chendelong1999/polite-flamingo | Develops training methods to improve the politeness and natural flow of multi-modal Large Language Models | 63 |
 lim0606/caffe-googlenet-bn | Re-implementation of a neural network model with batch normalization and customized training parameters. | 131 |
 csuhan/onellm | A framework for training and fine-tuning multimodal language models on various data types | 588 |
 luogen1996/lavin | An open-source implementation of a vision-language instructed large language model | 508 |
 shicai/densenet-caffe | Provides pre-trained neural network models based on DenseNet architecture, converted from Torch format to Caffe model for use in deep learning applications. | 357 |
 wolegechu/shufflenetv2.caffe2 | An implementation of ShuffleNet V2 as a deep learning model in Caffe2 for computer vision tasks | 25 |
 brightmart/xlnet_zh | Trains a large Chinese language model on massive data and provides a pre-trained model for downstream tasks | 230 |
 qinbinli/moon | A framework for collaborative machine learning model training that leverages similarity between model representations to correct local training. | 263 |
 openai/finetune-transformer-lm | This project provides code and model for improving language understanding through generative pre-training using a transformer-based architecture. | 2,160 |
 huggingface/hmtl | A neural network model for learning semantic representations from multiple natural language processing tasks | 1,191 |
 sebastian-lapuschkin/lrp_toolbox | A toolbox for implementing Layer-wise Relevance Propagation algorithm in artificial neural networks | 330 |
 bobazooba/xllm | A tool for training and fine-tuning large language models using advanced techniques | 381 |
 llava-vl/llava-plus-codebase | A platform for training and deploying large language and vision models that can use tools to perform tasks | 704 |
 toddsundsted/mxnet.cr | Provides bindings for MXNet, an open source deep learning framework written in C++ | 22 |
 google-research/tf-slim | A lightweight library for defining and training neural networks in TensorFlow. | 372 |