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acop2019_mltutorial

Code and simulated data for machine learning use cases at ACoP 2019

actinn

active-learning

active-learning-1

Active Learning Workshop

activesvc

ad-dl

Framework for the reproducible classification of Alzheimer's disease using deep learning

adc

source code for ADC

adjusttext

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

admb-examples

Various Examples for ADMB using R2admb

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

agentnet

Deep Reinforcement Learning library for humans

aicpsbot

Creating a Bot to help new students in the AICPS lab

aitl

A repository for Adversarial Inductive Transfer Learning with input and output space adaptation

alipy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

ananse

Prediction of key transcription factors in cell fate determination using enhancer networks. See full ANANSE documentation for detailed installation instructions and usage examples. http://anansepy.readthedocs.io

ananse-manuscript

Notebook files describing analyses in the ANANSE paper (Xu et al. 2021)

antiberta

Public repository describing training and testing of AntiBERTa.

antiberty

Antibody-specific masked language model

antiberty-pytorch

An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.

arboreto

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

artificial-intelligence-by-example

Artificial Intelligence By Example, published by Packt

artificial-intelligence-with-python

Code repository for Artificial Intelligence with Python, published by Packt

artificialintelligenceengines

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

as_molecule

Active learning

ast3dconfgenerator

Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)

astgcn

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

atomate

atomate is a powerful software for computational materials science and contains pre-built workflows.

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

autodiff

Julia AutoDiff