The codes I made while I practiced various TensorFlow examples

Last update: Dec 08, 2022

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Overview

TensorFlow_Exercises

The codes I made while I practiced various TensorFlow examples

About the codes

I didn't create these codes by myself, but re-create the codes while I was practicing other TensorFlow examples. Here is the list of example codes I refered to.

Sungjun Choi, Tensorflow-101
Aymeric Damien, Tensorflow-Examples
Nathan Lints, Tensorflow-Tutorials
Parag K. Mital, Tensorflow-Tutorials

List of the exercise codes

(More exercises will be updating...)

Slides

You can follow the above examples with the slides.

Feel free to make changes for your own project. And please let me know if you have a suggestion to improve the codes. Thank you!

Owner

Terry Taewoong Um

I'm Terry, a PhD student at University of Waterloo. I'm making fun with machine learning techniques (e.g. DNN, GP) and human/robot motion data :)

GitHub Repository

[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation

Efficient Graph Similarity Computation - (EGSC) This repo contains the source code and dataset for our paper: Slow Learning and Fast Inference: Effici

23 Nov 11, 2022

Medical Insurance Cost Prediction using Machine earning

Medical-Insurance-Cost-Prediction-using-Machine-learning - Here in this project, I will use regression analysis to predict medical insurance cost for people in different regions, and based on several

1 Dec 27, 2021

Official respository for "Modeling Defocus-Disparity in Dual-Pixel Sensors", ICCP 2020

Official respository for "Modeling Defocus-Disparity in Dual-Pixel Sensors", ICCP 2020 BibTeX @INPROCEEDINGS{punnappurath2020modeling, author={Abhi

22 Oct 01, 2022

Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

StrengthNet Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis" https://arxiv.org/abs/2110

65 Dec 20, 2022

A Machine Teaching Framework for Scalable Recognition

MEMORABLE This repository contains the source code accompanying our ICCV 2021 paper. A Machine Teaching Framework for Scalable Recognition Pei Wang, N

2 Dec 08, 2021

RaceBERT -- A transformer based model to predict race and ethnicty from names

RaceBERT -- A transformer based model to predict race and ethnicty from names Installation pip install racebert Using a virtual environment is highly

3 Nov 02, 2022

Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide range of illumination variants of a single image.

Deep Illuminator Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide

52 Nov 29, 2022

Explanatory Learning: Beyond Empiricism in Neural Networks

Explanatory Learning This is the official repository for "Explanatory Learning: Beyond Empiricism in Neural Networks". Datasets Download the datasets

10 Dec 06, 2022

Code for CVPR2019 Towards Natural and Accurate Future Motion Prediction of Humans and Animals

Motion prediction with Hierarchical Motion Recurrent Network Introduction This work concerns motion prediction of articulate objects such as human, fi

85 Dec 11, 2022

Code for the paper "Next Generation Reservoir Computing"

Next Generation Reservoir Computing This is the code for the results and figures in our paper "Next Generation Reservoir Computing". They are written

105 Dec 20, 2022

Tesla Light Show xLights Guide With python

Tesla Light Show xLights Guide Welcome to the Tesla Light Show xLights guide! You can create and run your own light shows on Tesla vehicles. Running a

2.5k Dec 29, 2022

Semantic graph parser based on Categorial grammars

Lambekseq "Everyone who failed Greek or Latin hates it." This package is for proving theorems in Categorial grammars (CG) and constructing semantic gr

10 Aug 19, 2022

TUPÃ was developed to analyze electric field properties in molecular simulations

TUPÃ: Electric field analyses for molecular simulations What is TUPÃ? TUPÃ (pronounced as tu-pan) is a python algorithm that employs MDAnalysis engine

10 Jul 17, 2022

TimeSHAP explains Recurrent Neural Network predictions.

TimeSHAP TimeSHAP is a model-agnostic, recurrent explainer that builds upon KernelSHAP and extends it to the sequential domain. TimeSHAP computes even

90 Dec 18, 2022

Baseline and template code for node21 detection track

Nodule Detection Algorithm This codebase implements a baseline model, Faster R-CNN, for the nodule detection track in NODE21. It contains all necessar

11 Jan 15, 2022

A PaddlePaddle version image model zoo.

Paddle-Image-Models English | 简体中文 A PaddlePaddle version image model zoo. Install Package Install by pip： $ pip install ppim Install by wheel package

131 Dec 07, 2022

Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.

Continual Reinforcement Learning This repository provides a simple way to run continual reinforcement learning experiments in PyTorch, including evalu

55 Dec 24, 2022

The codes I made while I practiced various TensorFlow examples

Related tags

Overview

TensorFlow_Exercises

About the codes

List of the exercise codes

Slides

Owner

Terry Taewoong Um

[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation

Medical Insurance Cost Prediction using Machine earning

Official respository for "Modeling Defocus-Disparity in Dual-Pixel Sensors", ICCP 2020

Implementation of "StrengthNet: Deep Learning-based Emotion Strength Assessment for Emotional Speech Synthesis"

A Machine Teaching Framework for Scalable Recognition

RaceBERT -- A transformer based model to predict race and ethnicty from names

Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide range of illumination variants of a single image.

Explanatory Learning: Beyond Empiricism in Neural Networks

Code for CVPR2019 Towards Natural and Accurate Future Motion Prediction of Humans and Animals

Code for the paper "Next Generation Reservoir Computing"

Tesla Light Show xLights Guide With python

Semantic graph parser based on Categorial grammars

TUPÃ was developed to analyze electric field properties in molecular simulations

TimeSHAP explains Recurrent Neural Network predictions.

Baseline and template code for node21 detection track

A PaddlePaddle version image model zoo.

Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.

Official repository for ABC-GAN

This repository contains an implementation of the Permutohedral Attention Module in Pytorch

Python-experiments - A Repository which contains python scripts to automate things and make your life easier with python