U-Net Brain Tumor Segmentation
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Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
Deep Learning Library for Single Cell Analysis
Image quality is an open source software library for Image Quality Assessment (IQA).
🎆 A visualization of the CapsNet layers to better understand how it works
Neural networks toolbox focused on medical image analysis
End-To-End Memory Network using Tensorflow
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
Simple embedding based text classifier inspired by fastText, implemented in tensorflow
Trading Environment(OpenAI Gym) + PPO(TensorForce)
Neural machine translation between the writings of Shakespeare and modern English using TensorFlow
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
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
TensorLight - A high-level framework for TensorFlow