iq-scm Goto Github PK
Type: Organization
iq-scm's Projects
keras-applications
Reference implementations of popular deep learning models.
keras-attention
Visualizing RNNs using the attention mechanism
keras-classification-models
Collection of Keras models used for classification
keras-dcgan
Keras implementation of Deep Convolutional Generative Adversarial Networks
keras-extra
Extra Layers for Keras to connect CNN with RNN
keras-extras
Extra batteries for Keras
keras-face
face detection, verification and recognition using Keras
keras-fcn
A playable implementation of Fully Convolutional Networks with Keras.
keras-filter-visualization
Visualizing filters by finding images that maximize their outputs
keras-finetuning
Training an InceptionV3-based image classifier with your own dataset
keras-fp16-test
Evaluating deep learning models with float16 dtype in Keras, float16 inference
keras-fractalnet
FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals
keras-gan
Generative Adversarial Networks with Keras
keras-language-modeling
:book: Some language modeling tools for Keras
keras-lookahead
Lookahead mechanism for optimizers in Keras.
keras-non-local-nets
Keras implementation of Non-local Neural Networks
keras-onnx
Convert tf.keras/Keras models to ONNX
keras-project-template
A project template to simplify building and training deep learning models using Keras.
keras-recommendation
Using Keras to implement recommender systems
keras-resnet
Residual networks implementation using Keras-1.0 functional API
keras-resnext
Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.
keras-rtst
"Real-Time Style Transfer" with Keras
keras-semantic-segmentation
Keras-Semantic-Segmentation
keras-serving
bring keras-models to production with tensorflow-serving and nodejs + docker :pizza:
keras-spp
Spatial pyramid pooling layers for keras
keras-taiwanhighspeedrail-captcha
Taiwan HighSpeed Rail captcha recognition with keras.
keras-text
Text Classification Library in Keras
keras-text-summarization
Text summarization using seq2seq in Keras
keras-transfer-learning-for-oxford102
Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
keras-unet
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
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