Low-code machine learning and deep learning
-
Updated
Jan 5, 2024 - Python
Low-code machine learning and deep learning
Classifying Underlying Placental Issues in Premature Infants with Deep Learning
Build CIFAR10 classifiers using Tensorflow, PyTorch, PyTorch Lightning
My journey to explore AI related topics
This MLOps repository contains python modules intended for distributed model training, tuning, and serving using PyTorch and Ray, a distributed computing framework.
The notebook shows how deep learning tools (TensorFlow/Keras and PyTorch ) work in practice.
A fully distributed hyperparameter optimization tool for PyTorch DNNs
Looking for a HIGGS in a Haystack
Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)
YOLOV8 - Object detection
The project implements the Snake game as an OpenAI Gym environment. Deep learning is implemented using the RLlib library. A convolutional neural network is used to work with the game frames.
DeepAR implementation for seasonal influenza cases in German districts
Training ReLU networks to high uniform accuracy is intractable
Official Repository for the paper: Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
Micro tutorial on how to run and scale HPO with LightGBM and Tune
Additional stoppers for ray tune
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
Code to reproduce 'Learning Distance Estimators from Pivoted Embeddings of Metric Objects'.
Add a description, image, and links to the ray-tune topic page so that developers can more easily learn about it.
To associate your repository with the ray-tune topic, visit your repo's landing page and select "manage topics."