1st place solution to Automated Machine Learning https://www.automl.ai/competitions/2
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Updated
May 18, 2020 - Python
1st place solution to Automated Machine Learning https://www.automl.ai/competitions/2
Code to reproduce 'Learning Distance Estimators from Pivoted Embeddings of Metric Objects'.
My journey to explore AI related topics
Hyperparameter tuning for FCN using Ray Tune
Looking for a HIGGS in a Haystack
Official Repository for the paper: Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
A fully distributed hyperparameter optimization tool for PyTorch DNNs
Distributing Deep Learning Hyperparameter Tuning for 3D Medical Image Segmentation
Micro tutorial on how to run and scale HPO with LightGBM and Tune
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
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
Hyperparameter Optimization of Tree Parity Machines to Minimize the Effectiveness of Unconventional Attacks on Neural Cryptography.
Learning ReLU networks to high uniform accuracy is intractable (ICLR 2023)
Deep reinforcement learning framework for fast prototyping based on PyTorch
Build CIFAR10 classifiers using Tensorflow, PyTorch, PyTorch Lightning
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.
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