Deep Learning Training Scripts With Python

Overview

Deep Learning Training Scripts

DNN Frameworks

  • Caffe
  • PyTorch
  • Tensorflow

CNN Models

  • VGG
  • ResNet
  • DenseNet
  • Inception

Language Modeling

  • GatedCNN-LM
  • Attention-MLP
  • Attention-RNN

Generative Model

  • DCGAN
  • A3C

RNN Models

  • DeepSpeech2

Dependencies

  • Pytorch 1.1.0
  • Tensorflow 1.13.1
  • cuda-toolkit 10.0
  • cudnn 7.4.2

Polybench

Modified to measure performance and energy consumption of soff. Run make in each folder to compile and run.

Hioki3334

A small python code snippet to control HIOKI 3334 AC/DC Power HiTESTER.

Owner
Multicore Computing Research Lab
Multicore Computing Research Lab
Resilient projection-based consensus actor-critic (RPBCAC) algorithm

Resilient projection-based consensus actor-critic (RPBCAC) algorithm We implement the RPBCAC algorithm with nonlinear approximation from [1] and focus

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Implementation of "Deep Implicit Templates for 3D Shape Representation"

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Python-based Informatics Kit for Analysing Chemical Units

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3D ResNet Video Classification accelerated by TensorRT

Activity Recognition TensorRT Perform video classification using 3D ResNets trained on Kinetics-400 dataset and accelerated with TensorRT P.S Click on

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a reimplementation of Holistically-Nested Edge Detection in PyTorch

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Simon Niklaus 375 Dec 06, 2022
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation

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Valeo.ai 20 Jun 21, 2022
Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

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Geometric Sensitivity Decomposition

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Python port of R's Comprehensive Dynamic Time Warp algorithm package

Welcome to the dtw-python package Comprehensive implementation of Dynamic Time Warping algorithms. DTW is a family of algorithms which compute the loc

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A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Blitz - Bayesian Layers in Torch Zoo BLiTZ is a simple and extensible library to create Bayesian Neural Network Layers (based on whats proposed in Wei

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EEGEyeNet is benchmark to evaluate ET prediction based on EEG measurements with an increasing level of difficulty

Introduction EEGEyeNet EEGEyeNet is a benchmark to evaluate ET prediction based on EEG measurements with an increasing level of difficulty. Overview T

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Restricted Boltzmann Machines in Python.

How to Use First, initialize an RBM with the desired number of visible and hidden units. rbm = RBM(num_visible = 6, num_hidden = 2) Next, train the m

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Super Pix Adv - Offical implemention of Robust Superpixel-Guided Attentional Adversarial Attack (CVPR2020)

Super_Pix_Adv Offical implemention of Robust Superpixel-Guided Attentional Adver

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RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.

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Official implementation of "MetaSDF: Meta-learning Signed Distance Functions"

MetaSDF: Meta-learning Signed Distance Functions Project Page | Paper | Data Vincent Sitzmann*, Eric Ryan Chan*, Richard Tucker, Noah Snavely Gordon W

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An implementation of the 1. Parallel, 2. Streaming, 3. Randomized SVD using MPI4Py

PYPARSVD This implementation allows for a singular value decomposition which is: Distributed using MPI4Py Streaming - data can be shown in batches to

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A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

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Generic Foreground Segmentation in Images

Pixel Objectness The following repository contains pretrained model for pixel objectness. Please visit our project page for the paper and visual resul

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PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility

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SegNet model implemented using keras framework

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