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
About Muti-Label Text (Sentence Level) Classification Based on CNN.
Chinese Question Classifier (Keras Implementation) on BQuLD
Tensorflow Implementation of Convolutional Neural Network for Relation Extraction
The combination of CNN and SLAM, aiming to achieve a better result of traditional geometric-based SLAM architecture.
Text Classification by Convolutional Neural Network in Keras
CNNs for Sentence Classification in PyTorch
Convolutional Neural Network for Text Classification in Tensorflow
Use CNN to classify time series data for activity recognition
Fully convolutional deep neural network to remove transparent overlays from images
Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
add CNN as an attention to LSTM
CNNs for sentence classification
A CNN for time-series classification
Source code for "Visual Language Modeling on CNN Image Representations"
code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"
A deep learning framework for Speech-Music discrimination of continuous audio streams
Using CNN for prediction of Emerging Hot Topic. Moreover, using word2vec and doc2vec for word embedding
Visualizer for Deep Neural Networks
CNTK implementation of Fully Convolutional Networks (FCN) with ResNet for semantic segmentation
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
MS COCO API (fork with fix for Python3)
TensorFlow implementation of COCOB
The official homepage of the COCO-Stuff dataset.
This is code of book "Learn Deep Learning with PyTorch"
Source code examples from the Parallel Forall Blog
Implementation of the paper "Language-agnostic representation learning of source code from structure and context".
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.