shubhampachori12110095 Goto Github PK
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
A tutorial on running Keras models in Tensorflow
Keras integration with TQDM progress bars
Keras pretrained models (VGG16, InceptionV3, Resnet50, Resnet152) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
Hyperparameter tuning for humans
Tutorial teaching the basics of Keras and some deep learning concepts
Simple tutorials using Keras Framework
Keras-Tutorials
VGGFace implementation with Keras Framework
Keras implementation of video classifier
Object detector in videos using keras and YOLO
Neural network visualization toolkit for keras
Mostly for using the trained weights from https://github.com/ryankiros/visual-semantic-embedding in Keras
Activation Maps Visualisation for Keras.
Keras implementation of deepmind's wavenet paper
Demo Weibull Time-to-event Recurrent Neural Network in Keras
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
A Keras implementation of YOLOv3 (Tensorflow backend)
Training and Detecting Objects with YOLO3
Run Keras Deep Learning Models (basic case) with CoreMLTools for iOS 11
Keras implementation of an attention reader (using LSTM or GRU RNN)
Model Compression CLI Tool for Keras.
Deepdream experiment implemented using Keras and VGG19 convnet
This is a drop-in Keras layer for ELMo embeddings.
Experimental Keras libraries and examples.
A collection of small extensions to Keras (RBM, momentum schedule, ..)
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
Small library for running Keras models from a C++ application
코딩셰프의 3분 딥러닝, 케라스맛
R interface to the keras library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.