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sleepy-owl's Projects

coax icon coax

Turn RL papers into code, the easy way

deepchem icon deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

fastnlp icon fastnlp

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

garage icon garage

A toolkit for reproducible reinforcement learning research.

hummingbird icon hummingbird

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

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

magenta icon magenta

Magenta: Music and Art Generation with Machine Intelligence

magnitude icon magnitude

A fast, efficient universal vector embedding utility package.

nlp-architect icon nlp-architect

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

parlai icon parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

pgmpy icon pgmpy

Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.

pymc3 icon pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pypesto icon pypesto

python Parameter EStimation TOolbox

pyro icon pyro

Deep universal probabilistic programming with Python and PyTorch

pytorch-meta icon pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

refnx icon refnx

Neutron and X-ray reflectometry analysis in Python

umap icon umap

Uniform Manifold Approximation and Projection

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

zfit icon zfit

Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience.

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