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

(Arxiv 2021) NeRF--: Neural Radiance Fields Without Known Camera Parameters

Adapter-BERT: Parameter-Efficient Transfer Learning for NLP.

The repo for reproducing Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study

Unsupervised clustering of high content screen samples

A collection of semantic image segmentation models implemented in TensorFlow

Spherical Confidence Learning for Face Recognition, accepted to CVPR2021.

TensorFlow (v2.7.0) benchmark results on an M1 Macbook Air 2020 laptop (macOS Monterey v12.1).

Simple (but Strong) Baselines for POMDPs

Implementation of Convolutional enhanced image Transformer

Face recognition project by matching the features extracted using SIFT.

Utilities and information for the signals.numer.ai tournament

PyTorch implementation of SQN based on CloserLook3D's encoder

Facial detection, landmark tracking and expression transfer library for Windows, Linux and Mac

Language Used: Python . Made in Jupyter(Anaconda) notebook.

Official implementation of "Motif-based Graph Self-Supervised Learning forMolecular Property Prediction"

A benchmark framework for Tensorflow

Implementation of Nyström Self-attention, from the paper Nyströmformer

DLFlow is a deep learning framework.

A collection of Google research projects related to Federated Learning and Federated Analytics.

tinykernel - A minimal Python kernel so you can run Python in your Python