Gin provides a lightweight configuration framework for Python
-
Updated
Jun 3, 2024 - Python
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Gin provides a lightweight configuration framework for Python
learn code with tensorflow
Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
Automated Driving in NFS using CNN.
Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
Adversarial Training for Neural Relation Extraction
This is where I put all my work in Natural Language Processing
Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf
Knowledge Base Question Answering using memory networks
Balanced Multiclass Image Classification with TensorFlow on Python.
A computer vision practice: Using Tensorflow - Object Detection Tutorials - Helmet detection
An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.
A Virtual Assistant for Windows PC with wicked Qt Graphics.
binary weight neural network implementation on tensorflow
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.
Audio Classification using Image Classification
Weapon detection using neural networks in surveillance
🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .
Created by Google Brain Team
Released November 9, 2015