Gin provides a lightweight configuration framework for Python
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Updated
Nov 28, 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.
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 computer vision practice: Using Tensorflow - Object Detection Tutorials - Helmet detection
A Virtual Assistant for Windows PC with wicked Qt Graphics.
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
binary weight neural network implementation on tensorflow
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
Attention is All You Need in Sonnet
Created by Google Brain Team
Released November 9, 2015