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

A simple code to perform canny edge contrast detection on images.

CVPR2021 Workshop - HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

Video-Captioning - A machine Learning project to generate captions for video frames indicating the relationship between the objects in the video

Paper list of log-based anomaly detection

Understanding the Generalization Benefit of Model Invariance from a Data Perspective

A pytorch implementation of the CVPR2021 paper "VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild"

A set of simple scripts to process the Imagenet-1K dataset as TFRecords and make index files for NVIDIA DALI.

An implementation of Deep Graph Infomax (DGI) in PyTorch

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering

A python implementation of Yolov5 to detect fire or smoke in the wild in Jetson Xavier nx and Jetson nano

Trainable Bilateral Filter Layer (PyTorch)

Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022

Modular Gaussian Processes

Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.

This repository is the official implementation of Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models

use machine learning to recognize gesture on raspberrypi

基于Pytorch实现优秀的自然图像分割框架！(包括FCN、U-Net和Deeplab)

Deeplab-resnet-101 in Pytorch with Jaccard loss

This project hosts the code for implementing the ISAL algorithm for object detection and image classification