PyTorch to Keras model convertor
- pytorch
- keras-model-convertor
- keras
- tensorflow
Repository Index
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A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
- python
- machine-learning
- random-forest
- tensorflow
QKeras: a quantization deep learning library for Tensorflow Keras
- deep-learning
- quantization
- quantized-neural-networks
- hardware-acceleration
[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering
Deep Learning Resources and Tutorials using Keras and Lasagne
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Neural networks toolbox focused on medical image analysis
- python
- keras
- convolutional-neural-networks
- brain
TranslatedCNN | Keras/PyTorch | CAPTCHA recognition
- captcha
- cnn-keras
- machine-learning
- pytorch-cnn
TranslatedCaptcha recognition implemented with a convolutional neural network
- neural-network
- cnn-keras
- tensorflow
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
- hyperopt
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameters-optimization
Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
- ai
- tensorflow
- tensorflow2
- keras
Tensorflow/Keras Plug-N-Play Deep Learning Models Compilation
Gluon to Keras deep neural network model converter