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

Snapchat-filters-app-opencv-python - Here we used opencv and other inbuilt python modules to create filter application like snapchat

The dataset of tweets pulling from Twitters with keyword: Hydroxychloroquine, location: US, Time: 2020

The NEOSSat is a dual-mission microsatellite designed to detect potentially hazardous Earth-orbit-crossing asteroids and track objects that reside in deep space

Implementation of experiments in the paper Clockwork Variational Autoencoders (project website) using JAX and Flax

Official implementation of MSR-GCN (ICCV 2021 paper)

Space-event-trace - Tracing service for spaceteam events

LexGLUE: A Benchmark Dataset for Legal Language Understanding in English

LAnguage Model Analysis

USAD - UnSupervised Anomaly Detection on multivariate time series

Qt-GUI implementation of the YOLOv5 algorithm (ver.6 and ver.5)

High-Fidelity Pluralistic Image Completion with Transformers (ICCV 2021)

An index of recommendation algorithms that are based on Graph Neural Networks.

Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python

Official implementation of CVPR2020 paper "Deep Generative Model for Robust Imbalance Classification"

Brax is a differentiable physics engine that simulates environments made up of rigid bodies, joints, and actuators

This repository provides an efficient PyTorch-based library for training deep models.

Direct Multi-view Multi-person 3D Human Pose Estimation

Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"

Convert Apple NeuralHash model for CSAM Detection to ONNX.

Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions