Lars Andersen Bratholm (larsbratholm)

larsbratholm

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Location:Copenhagen

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Lars Andersen Bratholm's starred repositories

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

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horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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dask

Parallel computing with task scheduling

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optuna

A hyperparameter optimization framework

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autokeras

AutoML library for deep learning

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sktime

A unified framework for machine learning with time series

Language:PythonLicense:BSD-3-ClauseStargazers:7504Issues:102Issues:2307

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

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cvxpy

A Python-embedded modeling language for convex optimization problems.

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noise-suppression-for-voice

Noise suppression plugin based on Xiph's RNNoise

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CapsNet-Tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

Language:PythonLicense:Apache-2.0Stargazers:3804Issues:249Issues:66

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

Language:PythonLicense:MITStargazers:3307Issues:50Issues:312

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

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Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

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enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

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chainer-chemistry

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

Language:PythonLicense:MITStargazers:617Issues:55Issues:92

rmsd

Calculate Root-mean-square deviation (RMSD) of two molecules, using rotation, in xyz or pdb format

Language:PythonLicense:BSD-2-ClauseStargazers:479Issues:18Issues:55

Cornell-MOE

A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

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htmd

HTMD: Programming Environment for Molecular Discovery

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qml

QML: Quantum Machine Learning

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tuthpc

Tutorial on "Efficient Python for High-Performance Computing"

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:119Issues:7Issues:4

pygmmis

Gaussian mixture model for incomplete (missing or truncated) and noisy data

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osprey

🦅Hyperparameter optimization for machine learning pipelines 🦅

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ppqm

Enable cheminformatics and quantum chemistry

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ppft

distributed and parallel Python

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meld

Modeling with limited data

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ThermodynamicAnalyticsToolkit

Sampling-based approach to analyse neural networks using TensorFlow

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MolBot

Recurrent Neural Networks for Drug Discovery

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bubbleplot

Bubble charts

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bxde

A collection of scripts for molecular dynamics simulations with BXD in energy space in 2D and 3D systems.

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