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Merge pull request pytorch#427 from shiftlab/ecosystem-stars-final
GitHub stars integration - Ecosystem page
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‎_ecosystem/Captum

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@@ -8,4 +8,5 @@ summary-home: Captum (“comprehension” in Latin) is an open source, extensibl
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featured-home: true
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redirect_to: https://captum.ai/
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github-id: pytorch/captum
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date-added: 10/18/19
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‎_ecosystem/Flair

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order: 6
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redirect_to: https://github.com/flairNLP/flair
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github-id: flairNLP/flair
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date-added: 12/30/19
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‎_ecosystem/Ignite

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order: 10
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redirect_to: https://github.com/pytorch/ignite
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github-id: pytorch/ignite
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date-added: 7/14/19
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‎_ecosystem/advertorch.md

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‎_ecosystem/albumentations

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@@ -5,5 +5,6 @@ summary: Fast and extensible image augmentation library for different CV tasks l
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link: https://github.com/albu/albumentations
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summary-home: Fast and extensible image augmentation library for different CV tasks like classification, segmentation, object detection and pose estimation.
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featured-home: false
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github-id: albu/albumentations
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github-id: albumentations-team/albumentations
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date-added: 10/28/19
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‎_ecosystem/allennlp.md

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‎_ecosystem/baal

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summary-home: baal (bayesian active learning) aims to implement active learning using metrics of uncertainty derived from approximations of bayesian posteriors in neural networks.
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featured-home: false
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github-id: ElementAI/baal
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date-added: 3/19/20
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‎_ecosystem/botorch

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order: 3
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redirect_to: https://botorch.org/
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github-id: pytorch/botorch
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date-added: 6/14/19
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‎_ecosystem/catalyst

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summary-home: Catalyst helps you write compact, but full-featured deep learning and reinforcement learning pipelines with a few lines of code.
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featured-home: false
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github-id: catalyst-team/catalyst
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date-added: 10/28/19
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‎_ecosystem/crypten

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featured-home: false
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redirect_to: https://github.com/facebookresearch/CrypTen
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github-id: facebookresearch/CrypTen
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date-added: 10/18/19
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‎_ecosystem/detectron2

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summary-home: Detectron2 is FAIR's next-generation platform for object detection and segmentation.
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featured-home: false
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github-id: facebookresearch/detectron2
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date-added: 3/27/20
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‎_ecosystem/dgl

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summary-home: Deep Graph Library (DGL) is a Python package built for easy implementation of graph neural network model family, on top of PyTorch and other frameworks.
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featured-home: false
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github-id: dmlc/dgl
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date-added: 3/3/20
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‎_ecosystem/elf.md

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‎_ecosystem/fastai

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featured-home: false
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redirect_to: https://docs.fast.ai
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github-id: fastai/fastai
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date-added: 7/14/19
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‎_ecosystem/glow.md

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‎_ecosystem/gpytorch.md

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‎_ecosystem/higher

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summary-home: higher is a library which facilitates the implementation of arbitrarily complex gradient-based meta-learning algorithms and nested optimisation loops with near-vanilla PyTorch.
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featured-home: false
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github-id: facebookresearch/higher
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date-added: 5/21/20
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‎_ecosystem/horovod

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featured-home: false
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redirect_to: http://horovod.ai
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github-id: horovod/horovod
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date-added: 7/14/19
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‎_ecosystem/hummingbird

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summary-home: Hummingbird compiles trained ML models into tensor computation for faster inference.
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featured-home: false
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github-id: microsoft/hummingbird
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date-added: 6/17/20
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‎_ecosystem/hydra

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summary-home: A framework for elegantly configuring complex applications.
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featured-home: false
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github-id: facebookresearch/hydra
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date-added: 1/6/20
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‎_ecosystem/kornia

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summary-home: Kornia is a differentiable computer vision library that consists of a set of routines and differentiable modules to solve generic CV problems.
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featured-home: false
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github-id: kornia/kornia
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date-added: 10/29/19
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‎_ecosystem/mmf

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summary-home: A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).
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featured-home: false
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github-id: facebookresearch/mmf
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date-added: 6/11/20
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‎_ecosystem/monai

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summary-home: MONAI provides domain-optimized foundational capabilities for developing healthcare imaging training workflows.
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featured-home: false
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github-id: Project-MONAI/MONAI
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date-added: 5/1/20
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‎_ecosystem/nemo

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summary-home: "NeMo: a toolkit for conversational AI"
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featured-home: false
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github-id: NVIDIA/NeMo
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date-added: 6/16/20
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‎_ecosystem/optuna

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summary-home: An open source hyperparameter optimization framework to automate hyperparameter search.
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featured-home: false
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github-id: optuna/optuna
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date-added: 4/6/20
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‎_ecosystem/parlai

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redirect_to: http://parl.ai/
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github-id: facebookresearch/ParlAI
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date-added: 7/14/19
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‎_ecosystem/pennylane

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redirect_to: https://pennylane.ai/
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github-id: XanaduAI/PennyLane
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date-added: 7/14/19
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‎_ecosystem/poutyne

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summary-home: Poutyne is a Keras-like framework for PyTorch and handles much of the boilerplating code needed to train neural networks.
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featured-home: false
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github-id: GRAAL-Research/poutyne
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date-added: 2/13/20
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‎_ecosystem/pyro.md

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‎_ecosystem/pysyft

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redirect_to: https://github.com/OpenMined/PySyft
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github-id: OpenMined/PySyft
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‎_ecosystem/pytorch-geometric

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featured-home: true
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redirect_to: https://github.com/rusty1s/pytorch_geometric
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github-id: rusty1s/pytorch_geometric
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‎_ecosystem/pytorch-lightning

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summary-home: PyTorch Lightning is a Keras-like ML library for PyTorch. It leaves core training and validation logic to you and automates the rest.
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redirect_to: https://github.com/williamFalcon/pytorch-lightning
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github-id: williamFalcon/pytorch-lightning
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github-id: PyTorchLightning/pytorch-lightning
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date-added: 8/14/19
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‎_ecosystem/pytorch-nlp

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summary-home: Basic Utilities for PyTorch Natural Language Processing (NLP).
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featured-home: false
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github-id: PetrochukM/PyTorch-NLP
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date-added: 4/6/20
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‎_ecosystem/pytorch3d

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summary-home: PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch.
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featured-home: false
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github-id: facebookresearch/pytorch3d
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date-added: 3/27/20
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‎_ecosystem/skorch

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featured-home: true
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redirect_to: https://github.com/skorch-dev/skorch
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github-id: skorch-dev/skorch
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‎_ecosystem/tensorly.md

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‎_ecosystem/torchpoints3d

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summary-home: A PyTorch framework for deep learning on point clouds.
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github-id: nicolas-chaulet/torch-points3d
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date-added: 5/20/20
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‎_ecosystem/trains

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summary-home: Allegro Trains is a full system ML / DL experiment manager, versioning and ML-Ops solution.
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github-id: allegroai/trains
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‎_ecosystem/translate.md

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‎_includes/ecosystem_sort.html

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<a id="dropdownSortLeft" data-toggle="dropdown" data-target="#dropdownSortMenuLeft" >
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Sort <img src="{{ site.baseurl }}/assets/images/filter-arrow.svg">
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<div class="dropdown-menu sort-menu" id="#dropdownSortMenuLeft">
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<div class="ecosystem-filter-menu">
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<ul>
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<li>
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<a class="ecosystem-filter" id="sortLowLeft">GitHub Stars - Lowest</a>
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‎_sass/ecosystem.scss

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