Deep-Metric-Learning-CVPR16
Deep Learning Model
A software framework for building deep metric learning models using lifted structured feature embedding
Main repository for Deep Metric Learning via Lifted Structured Feature Embedding
346 stars
18 watching
122 forks
Language: MATLAB
last commit: about 7 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 isht7/pytorch-deeplab-resnet | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
 yuyang-huang/keras-inception-resnet-v2 | Represents an implementation of the Inception-ResNet v2 deep learning model in Keras. | 180 |
 vict0rsch/deep_learning | A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne. | 426 |
 darshandeshpande/jax-models | Provides a collection of deep learning models and utilities in JAX/Flax for research purposes. | 151 |
 zhengwang100/rect | A deep learning framework for graph representation learning with partially labeled data | 19 |
 coreylowman/dfdx | A deep learning library for Rust with GPU acceleration and ergonomic API. | 1,754 |
 yechengxi/lightnet | A Matlab-based framework for building and training deep learning models | 271 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
 matthiasplappert/keras-rl | A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 8 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
 jiasenlu/cdssm | An implementation of a specific deep learning model in PyTorch for natural language processing tasks. | 41 |
 marcbs/keras | An extension of Keras with new functionalities including conversion from Caffe models and support for multimodal data. | 225 |
 starling-lab/boostsrl | An approach to learning relational models using gradient boosting. | 32 |
 matthias-wright/flaxmodels | Provides pre-trained deep learning models for the Jax/Flax ecosystem. | 240 |
 deepgram/kur | A system for quickly building and applying state-of-the-art deep learning models to new problems | 818 |