1,036 skills found · Page 1 of 35
google-deepmind / SonnetTensorFlow-based neural network library
dennybritz / Cnn Text Classification TfConvolutional Neural Network for Text Classification in Tensorflow
tensorspace-team / TensorspaceNeural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
andabi / Deep Voice ConversionDeep neural networks for voice conversion (voice style transfer) in Tensorflow
leriomaggio / Deep Learning Keras TensorflowIntroduction to Deep Neural Networks with Keras and Tensorflow
bethgelab / FoolboxA Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
sherjilozair / Char Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
danielegrattarola / SpektralGraph Neural Networks with Keras and Tensorflow 2.
pannous / Tensorflow Speech Recognition🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks
waleedka / HiddenlayerNeural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
xmartlabs / BenderEasily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
victordibia / HandtrackingBuilding a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
tensorflow / GnnTensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
vlawhern / Arl EegmodelsThis is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow
advboxes / AdvBoxAdvbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
liyaguang / DCRNNImplementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
hunkim / Word Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
tech-srl / Code2vecTensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
guillaume-chevalier / Seq2seq Signal PredictionSignal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
microsoft / Tf Gnn SamplesTensorFlow implementations of Graph Neural Networks
