tensorflow-experiments
There are 315 repositories under tensorflow-experiments topic.
google/gin-config
Gin provides a lightweight configuration framework for Python
bangoc123/learn-machine-learning-in-two-months
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
datitran/raccoon_dataset
The dataset is used to train my own raccoon detector and I blogged about it on Medium
burness/tensorflow-101
learn code with tensorflow
axelbrando/Mixture-Density-Networks-for-distribution-and-uncertainty-estimation
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
wagamamaz/tensorlayer-tricks
How to use TensorLayer
thekevinscott/ml-classifier-ui
A UI tool for quickly training image classifiers in the browser
jiamings/wgan
Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
SuperBruceJia/EEG-Motor-Imagery-Classification-CNNs-TensorFlow
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
mishig25/3d-posenet
Control 3D Virtual Character through Tensroflow.js Posenet
harveyslash/Deep-Steganography
Hiding Images within other images using Deep Learning
Gautam-J/Self-Driving-Car
Automated Driving in NFS using CNN.
csinva/gpt-paper-title-generator
Generating paper titles (and more!) with GPT trained on data scraped from arXiv.
ermongroup/a-nice-mc
Code for "A-NICE-MC: Adversarial Training for MCMC"
jiamings/cramer-gan
Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
thekevinscott/ml-classifier
A tool for quickly training image classifiers in the browser
poly-glot/tensorflowjs-remove-background
Remove Background from the picture using WebAssembly & TensorFlow.js
jxwuyi/AtNRE
Adversarial Training for Neural Relation Extraction
JK0N/tensorflow-image-recognition-chrome-extension
Chrome browser extension for using TensorFlow image recognition on web pages
ChunML/NLP
This is where I put all my work in Natural Language Processing
anthony-chaudhary/deeper-traffic-lights
[repo not maintained] Check out https://diffgram.com if you want to build a visual intelligence
philipperemy/stock-volatility-google-trends
Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf
dapurv5/neural_kbqa
Knowledge Base Question Answering using memory networks
victordibia/skyfall
Gesture Controlled Web based Game using Tensorflow Object Detection Api
johnsmithm/handwritten-tf-1.0
Handwritten recognition with slice+cnn+lstm/multidimentional lstm/cnn+lstm
shubham0204/Age-Gender_Estimation_TF-Android
Age + Gender Estimation on Android with TensorFlow Lite
MuhammedBuyukkinaci/TensorFlow-Multiclass-Image-Classification-using-CNN-s
Balanced Multiclass Image Classification with TensorFlow on Python.
weimin17/Object-Detection_HelmetDetection
A computer vision practice: Using Tensorflow - Object Detection Tutorials - Helmet detection
stevenobadja/math_object_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.
men-in-stack/The-Third-Eye
An AI based application to identify currency and gives audio feedback.
NikhilCodes/VirtualBLU
A Virtual Assistant for Windows PC with wicked Qt Graphics.
sdsubhajitdas/Rocket_Lander_Gym
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
uranusx86/BinaryNet-on-tensorflow
binary weight neural network implementation on tensorflow
MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data
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.
taiwotman/Smart-Traffic
A system and method for the prediction of vehicle traffic congestion on a given roadway within a region. In particular, the computer implemented method of the present disclosure utilize real time traffic images from traffic cameras for the input of data and utilizes computer processing and machine learning to model a predictive level of congestion within a category of low congestion, medium congestion, or high congestion. By implementing machine learning in the comparison of exemplary images and administrator review, the computer processing system and method steps can predict a more efficient real-time congestion prediction over time.
iamvishnuks/AudioNet
Audio Classification using Image Classification