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32 search results found
Ray
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29,596
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Polyaxon
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3,438
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Node2vec
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1,141
Implementation of the node2vec algorithm.
Mulimgviewer
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952
MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.
Dist Keras
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611
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
Neuraxle
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533
The world's cleanest AutoML library โจ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
Pranet
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344
PraNet: Parallel Reverse Attention Network for Polyp Segmentation, MICCAI 2020 (Oral). Code using Jittor Framework is available.
Sherpa
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294
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Cylon
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286
Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.
Laser
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261
The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers
Nimble
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169
Lightweight and Parallel Deep Learning Framework
Exrs
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128
100% Safe Rust OpenEXR file library
Elbencho
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125
A distributed storage benchmark for file systems, object stores & block devices with support for GPUs
Metronome
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103
Suite of parallel iterative algorithms built on top of Iterative Reduce
Residual_adapters
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101
Libgdl
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88
ไธไธช็งปๅจ็ซฏ่ทจๅนณๅฐ็gpu+cpuๅนถ่ก่ฎก็ฎ็cnnๆกๆถ(A mobile-side cross-platform gpu+cpu parallel computing CNN framework)
Nonparaseq2seqvc_code
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77
Implementation code of non-parallel sequence-to-sequence VC
Clair
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74
Clair: Exploring the limit of using deep neural network on pileup data for germline variant calling
Deep_rl_ale
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73
An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow
Voice Conversion Gan
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59
Voice Conversion using Cycle GAN's For Non-Parallel Data
Hypergol
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54
Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, standardised structure for data and ML and parallel processing out-of-the-box.
Uncertainty Wizard
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39
Uncertainty-Wizard is a plugin on top of tensorflow.keras, allowing to easily and efficiently create uncertainty-aware deep neural networks. Also useful if you want to train multiple small models in parallel.
Parle
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38
Photontorch
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34
Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch
Dask Pytorch Ddp
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28
dask-pytorch-ddp is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
Superscaler
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27
An experimental parallel training platform
Distributeddeeplearning
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20
Tutorials on running distributed deep learning on Batch AI
Kuka_rl
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20
Reinforcement Learning Experiments using PyBullet
Fluidml
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19
FluidML is a lightweight framework for developing machine learning pipelines.
Nemesyst
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14
Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.
Retrowrapper
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14
Wrapper for OpenAI Retro envs for parallel execution
Nips2017
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14
Bilingual Word Embeddings With Bucketed Cnn For Parallel Sentence Extraction
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11
Code for our paper in ACL 2017
Deepmri
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10
The code for paper 'DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'
Statestream
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10
A toolbox to explore synchronous layerwise-parallel deep neural networks.
Tensorfollow
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10
ํ ์ํ๋ก์ฐ
Air
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7
Auxiliary Image Regularization for Deep CNNs with Noisy labels at ICLR 2016
Le Traducteur
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6
A Neural Machine Translation framework built with PyTorch and AllenNLP.
Paac Pytorch
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5
PyTorch implementation of PAAC from "Efficient Parallel Methods for Deep Reinforcement Learning"
Leap
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5
LEAP: Linear Explainable Attention in Parallel for causal language modeling with O(1) path length, and O(1) inference
Parallel Gcn
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5
Parallel implementation of Graph Convolutional Networks on CPU
Cuda Toolkit
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5
๐งถ๐ ๐๐จ๐๐ ๐ฒ๐ ๐ฎ๐บ๐ฝ๐น๐ฒ๐ ๐ณ๐ผ๐ฟ ๐๐ฒ๐ฒ๐ฝ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐ฃ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ๐
Falcon
โญย
5
A computation-parallel deep learning architecture.
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