Simple embedding based text classifier inspired by fastText, implemented in tensorflow
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Trading Environment(OpenAI Gym) + PPO(TensorForce)
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
卷积神经网络实现的验证码识别
Hierarchical Attentive Recurrent Tracking
Learning cell communication from spatial graphs of cells
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"
A Tensorfflow implementation of Attend, Infer, Repeat
Unsupervised Image to Image Translation with Generative Adversarial Networks
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
Keras4Delphi is a high-level neural networks API, written in Pascal with Python Binding
Detect the sentiment captured in short pieces of text
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.
Spatial Transformer Nets in TensorFlow/ TensorLayer
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.
TensorLight - A high-level framework for TensorFlow
Single Image Random Dot Stereogram for Tensorflow
Set up and maintain a machine learning project in Tensorflow with a single script.