A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
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Updated
Jun 17, 2024 - Python
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
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
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
Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)
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.
Training ReLU networks to high uniform accuracy is intractable
Official Repository for the paper: Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
Additional stoppers for ray tune
Low-code machine learning and deep learning
Classifying Underlying Placental Issues in Premature Infants with Deep Learning
My journey to explore AI related topics
A fully distributed hyperparameter optimization tool for PyTorch DNNs
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