Adam Golinski (talesa)

talesa

Geek Repo

Company:University of Oxford

Location:Oxford, UK

Home Page:http://adamgol.me/

Twitter:@adam_golinski

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Adam Golinski's repositories

amci

Amortized Monte Carlo Integration

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probmlbib

Probabilistic ML shared bibtex file

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slurm_gpustat

A simple command line tool to show GPU usage on a SLURM cluster

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ai-deadlines

:alarm_clock: AI conference deadline countdowns

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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awesome-mlss

List of summer schools in machine learning + related fields across the globe

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botorch

Bayesian optimization in PyTorch

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ConfigArgParse

A drop-in replacement for argparse that allows options to also be set via config files and/or environment variables.

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datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

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expRNN

Code to reproduce the ICML 2019 paper "Cheap Orthogonal Constraints in Neural Networks: A Simple Parametrization of the Orthogonal and Unitary Group"

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language-generic-config

Basic syntax highlighting for generic config files in Atom.

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lgf

Pytorch implementation of Localised Generative Flows

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pytorch-flows

PyTorch implementations of algorithms for density estimation

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pytorch_modelsize

Estimates the size of a PyTorch model in memory

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ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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resnet1d

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

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scikit-learn

scikit-learn: machine learning in Python

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syne-tune

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

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tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

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