From the basics to slightly more interesting applications of Tensorflow

Last update: Jan 09, 2023

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Overview

TensorFlow Tutorials

You can find python source code under the python directory, and associated notebooks under notebooks.

	Source code	Description
1	basics.py	Setup with tensorflow and graph computation.
2	linear_regression.py	Performing regression with a single factor and bias.
3	polynomial_regression.py	Performing regression using polynomial factors.
4	logistic_regression.py	Performing logistic regression using a single layer neural network.
5	basic_convnet.py	Building a deep convolutional neural network.
6	modern_convnet.py	Building a deep convolutional neural network with batch normalization and leaky rectifiers.
7	autoencoder.py	Building a deep autoencoder with tied weights.
8	denoising_autoencoder.py	Building a deep denoising autoencoder which corrupts the input.
9	convolutional_autoencoder.py	Building a deep convolutional autoencoder.
10	residual_network.py	Building a deep residual network.
11	variational_autoencoder.py	Building an autoencoder with a variational encoding.

Installation Guides

For Ubuntu users using python3.4+ w/ CUDA 7.5 and cuDNN 7.0, you can find compiled wheels under the wheels directory. Use pip3 install tensorflow-0.8.0rc0-py3-none-any.whl to install, e.g. and be sure to add: export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64" to your .bashrc. Note, this still requires you to install CUDA 7.5 and cuDNN 7.0 under /usr/local/cuda.

Resources

Author

Parag K. Mital, Jan. 2016.

http://pkmital.com

License

See LICENSE.md

From the basics to slightly more interesting applications of Tensorflow

Related tags

Overview

TensorFlow Tutorials

Installation Guides

Resources

Author

License

Owner

Parag K Mital

TrackFormer: Multi-Object Tracking with Transformers

Spatiotemporal resampling methods for mlr3

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

This is the code for ACL2021 paper A Unified Generative Framework for Aspect-Based Sentiment Analysis

In-place Parallel Super Scalar Samplesort (IPS⁴o)

Official implementation of Influence-balanced Loss for Imbalanced Visual Classification in PyTorch.

Basit bir burç modülü.

Cortex-compatible model server for Python and TensorFlow

Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

This is Unofficial Repo. Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (CVPR 2021)

LIVECell - A large-scale dataset for label-free live cell segmentation

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

git《Joint Entity and Relation Extraction with Set Prediction Networks》(2020) GitHub:

The codes and related files to reproduce the results for Image Similarity Challenge Track 1.

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

IJCAI2020 & IJCV 2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

Waymo motion prediction challenge 2021: 3rd place solution

Code for "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation" ICCV'21

Unsupervised Representation Learning via Neural Activation Coding

Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)

From the basics to slightly more interesting applications of Tensorflow

Related tags

Overview

TensorFlow Tutorials

Installation Guides

Resources

Author

License

Owner

Parag K Mital

TrackFormer: Multi-Object Tracking with Transformers

Spatiotemporal resampling methods for mlr3

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

This is the code for ACL2021 paper A Unified Generative Framework for Aspect-Based Sentiment Analysis

In-place Parallel Super Scalar Samplesort (IPS⁴o)

Official implementation of Influence-balanced Loss for Imbalanced Visual Classification in PyTorch.

Basit bir burç modülü.

Cortex-compatible model server for Python and TensorFlow

Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

This is Unofficial Repo. Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection (CVPR 2021)

LIVECell - A large-scale dataset for label-free live cell segmentation

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

git《Joint Entity and Relation Extraction with Set Prediction Networks》(2020) GitHub:

The codes and related files to reproduce the results for Image Similarity Challenge Track 1.

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

IJCAI2020 & IJCV 2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo

Waymo motion prediction challenge 2021: 3rd place solution

Code for "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation" ICCV'21

Unsupervised Representation Learning via Neural Activation Coding

Code for the paper "MASTER: Multi-Aspect Non-local Network for Scene Text Recognition" (Pattern Recognition 2021)

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.