A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
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Updated
Sep 9, 2024 - Python
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
A sample workflow for classifying wetlands in Google Earth Engine. Uses data from multiple sources.
Additional stoppers for ray tune
Instance segmentation with U-Net/Mask R-CNN workflow using Keras & Ray Tune
This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
Classifying Underlying Placental Issues in Premature Infants with Deep Learning
DeepAR implementation for seasonal influenza cases in German districts
Low-code machine learning and deep learning
YOLOV8 - Object detection
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.
Build CIFAR10 classifiers using Tensorflow, PyTorch, PyTorch Lightning
Deep reinforcement learning framework for fast prototyping based on PyTorch
Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)
Hyperparameter Optimization of Tree Parity Machines to Minimize the Effectiveness of Unconventional Attacks on Neural Cryptography.
Training ReLU networks to high uniform accuracy is intractable
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.
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