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This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
Hyperparameter tuning for FCN using Ray Tune
Deep reinforcement learning framework for fast prototyping based on PyTorch
1st place solution to Automated Machine Learning https://www.automl.ai/competitions/2
A sample workflow for classifying wetlands in Google Earth Engine. Uses data from multiple sources.
Code to reproduce 'Learning Distance Estimators from Pivoted Embeddings of Metric Objects'.
Hyperparameter Optimization of Tree Parity Machines to Minimize the Effectiveness of Unconventional Attacks on Neural Cryptography​.
Instance segmentation with U-Net/Mask R-CNN workflow using Keras & Ray Tune
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.
Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)
DeepAR implementation for seasonal influenza cases in German districts
Micro tutorial on how to run and scale HPO with LightGBM and Tune
Additional stoppers for ray tune
Training ReLU networks to high uniform accuracy is intractable
Official Repository for the paper: Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
YOLOV8 - Object detection
The notebook shows how deep learning tools (TensorFlow/Keras and PyTorch ) work in practice.
This MLOps repository contains python modules intended for distributed model training, tuning, and serving using PyTorch and Ray, a distributed computing framework.
My journey to explore AI related topics
A fully distributed hyperparameter optimization tool for PyTorch DNNs
Build CIFAR10 classifiers using Tensorflow, PyTorch, PyTorch Lightning
Hyper-parameter Optimization of a XGBoost Model using Ray Tune