Pinned Repositories
Album
Android MaterialDesign style album, camera, gallery.
ColossalAI
Making large AI models cheaper, faster and more accessible
Deep-Learning-for-Sensor-based-Human-Activity-Recognition
Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
diagnose-and-explain
An attention-based CNN-LSTM model that generates and explains Chest X-ray diagnostics using Natural Language
gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
Image-classification-transfer-learning
Categorizing food and grocery products using Transfer Learning from Inception V3
kotlin-samples
models
Models and examples built with TensorFlow
NAVI-STR
Scene Text Recognition pipeline for NAVI (Navigational Assistant for the Visually Impaired)
wisdal's Repositories
wisdal/Image-classification-transfer-learning
Categorizing food and grocery products using Transfer Learning from Inception V3
wisdal/Deep-Learning-for-Sensor-based-Human-Activity-Recognition
Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data
wisdal/diagnose-and-explain
An attention-based CNN-LSTM model that generates and explains Chest X-ray diagnostics using Natural Language
wisdal/models
Models and examples built with TensorFlow
wisdal/Album
Android MaterialDesign style album, camera, gallery.
wisdal/ColossalAI
Making large AI models cheaper, faster and more accessible
wisdal/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
wisdal/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
wisdal/kotlin-samples
wisdal/NAVI-STR
Scene Text Recognition pipeline for NAVI (Navigational Assistant for the Visually Impaired)
wisdal/tpuDCGAN
Train DCGAN with TPUs on Google Cloud
wisdal/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
wisdal/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.