medicalAI
GLOM-TensorFlow
medicalAI | GLOM-TensorFlow | |
---|---|---|
1 | 4 | |
15 | 36 | |
- | - | |
2.7 | 0.0 | |
11 months ago | about 3 years ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
medicalAI
-
Tf 2.0 data API help
For Vision applications you can use look into this library, https://github.com/aibharata/medicalAI/tree/dev-rc. This branch has tf_image_pipelines in data loaders section. That may be of help to you.
GLOM-TensorFlow
- Implementing Geoffrey Hinton's latest paper
- Implementing Geoffrey Hinton's latest idea paper
-
Implementing part-whole hierarchies in neural networks
I am glad to today present my attempt to implement Geoffery Hinton's latest idea paper about representing part-whole hierarchies in neural networks. Also doing ML more the way the human brain does it! https://github.com/Rishit-dagli/GLOM-TensorFlow
- Implementing part-whole hierarchies in Neural Nets
What are some alternatives?
super-resolution - Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
wtte-rnn - WTTE-RNN a framework for churn and time to event prediction
cnn-raccoon - Create interactive dashboards for your Convolutional Neural Networks with a single line of code!
ydata-synthetic - Synthetic data generators for tabular and time-series data
head-pose-estimation - Realtime human head pose estimation with ONNXRuntime and OpenCV.
tf2-published-models - 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.
Speech_driven_gesture_generation_with_autoencoder - This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".
nodding-pigeon - Detection and classification of head gestures in videos