Build software better, together

We also need to benchmark the Lottery-tickets Pruning algorithm and the Quantization algorithms. The models used for this would be the student networks discussed in #105 (ResNet18, MobileNet v2, Quantization v2).

Pruning (benchmark upto 40, 50 and 60 % pruned weights)

Lottery Tickets

Quantization

Static
QAT

Benchmarking KD

Open

Update README.rst

10

cbaziotis / neat-vision

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Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

visualization nlp natural-language-processing vuejs deep-learning attention deep-learning-library attention-mechanism text-visualization attention-mechanisms deep-learning-visualization self-attentive-rnn self-attention attention-visualization attention-scores

Updated May 4, 2018
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borgwang / tinynn

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A lightweight deep learning library

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Updated Mar 14, 2022
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sidroopdaska / SelfDrivingCar

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A collection of all projects pertaining to different layers in the SDC software stack

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Updated Apr 15, 2018
Jupyter Notebook

tariqdaouda / Mariana

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The Cutest Deep Learning Framework which is also a wonderful Declarative Language

python data-science machine-learning deep-neural-networks theano deep-learning machine-learning-algorithms artificial-intelligence deep-learning-algorithms artificial-neural-networks deep-learning-library machinelearning deeplearning

Updated May 29, 2018
JavaScript

kaszperro / slick-dnn

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Tiny and elegant deep learning library

deep-neural-networks deep-learning autograd machine-learning-library deep-learning-library

Updated Jun 21, 2022
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CEA-LIST / N2D2

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Open

Adapt scripts to Python 3

olivierbichler-cea commented Sep 20, 2021

Adapt the scripts in tools for Python 3.

chncwang / InsNet

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InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.

nlp deep-learning-library dynamic-batching

Updated Nov 20, 2021
C++

maet3608 / nuts-ml

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Flow-based data pre-processing for deep learning

data-science deep-learning deep-learning-library data-preprocessing deep-learning-framework

Updated Jan 6, 2021
Python

DensoITLab / Demitasse

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Demitasse: SPMD Programing Implementation of Deep Neural Network Library for Mobile Devices(NeurIPS2016WS)

macos ios deep-neural-networks caffe deep-learning deep-learning-library deeplearning

Updated Feb 17, 2017
C++

mrdvince / breast_cancer_detection

Sponsor

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Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of 7,909 microscopic images.

machine-learning deep-learning detection machine pytorch deep-learning-library breast-cancer-prediction breast-cancer histopathological-images

Updated May 1, 2021
Python

E1eveNn / shinnosuke

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A keras-like API deep learning framework,realized by Numpy only.Support CNN, RNN, LSTM, Dense, etc.

deep-neural-networks deep-learning deep-learning-algorithms deep-learning-library deep-learning-tutorial deep-learning-framework

Updated Apr 16, 2020
Python

pronobis / libspn

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Library for learning and inference with Sum-product Networks

machine-learning deep-learning tensorflow spn machine-learning-library deep-learning-library

Updated Feb 20, 2020
Python

david-leon / Dandelion

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A light weight deep learning framework, on top of Theano, offering better balance between flexibility and abstraction

theano python3 artificial-intelligence deep-learning-library

Updated Sep 8, 2020
Python

arthurdjn / nets

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Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.

python machine-learning framework deep-learning neural-network numpy autograd recurrent-neural-networks deep-learning-library convolutional-neural-networks gradient-descent fully-convolutional-networks back-propagation numpy-library machine-learning-projects

Updated Feb 21, 2021
Python

penguinmenac3 / starttf

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A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.

deep-learning tensorflow cluster dataset mnist estimator tensorboard deep-learning-library vgg16 googlenet deep-learning-tutorial tfrecords lfw loss

Updated Aug 6, 2019
Python

StanislavGrigoriev / EasyCNTK

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C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc. Contains helpers for work with dataset (split, statistics, SMOTE etc). Allows train, evaluate and inference deep neural networks in style similar to Keras.

c-sharp machine-learning deep-neural-networks deep-learning cntk deep-learning-library cognitive-toolkit