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
Recommender built using keras
customize this building block to make all the residual connections you can dream of
Residual networks implementation using Keras-1.0 functional API
Keras package for deep residual networks
Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
A very simple project to create a rest backend for serving a neural network model based on keras
Keras implementation of RetinaNet object detection.
Deep Reinforcement Learning for Keras.
"Real-Time Style Transfer" with Keras
This is my keras-scripts
SegNet model implemented using keras framework
SegNet-Basic with Keras
Attention mechanism for processing sequential data that considers the context for each timestamp.
Web api built on flask for keras-based sentiment analysis using Word Embedding, RNN and CNN
bring keras-models to production with tensorflow-serving and nodejs + docker :pizza:
Keras Implementation of SparseNets
Spatial pyramid pooling layers for keras
Implementation of Squeeze and Excitation Networks in Keras
SqueezeNet implementation with Keras Framework
Implementation of Simple Recurrent Unit in Keras
Visualizations for understanding the regressed wheel steering angle for self driving cars
Pruning and other network surgery for trained Keras models.
10 easy steps to install Tensorflow-GPU and Keras in Windows
Text Classification Library in Keras
Text summarization using seq2seq in Keras
Translate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks
Time series prediction with Sequential Model and LSTM units
recurrent neural networks for timeseries prediction in Keras
A tutorial on running Keras models in Tensorflow
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.