GithubHelp home page GithubHelp logo

cocacolabai's Projects

chatbot_pytorch icon chatbot_pytorch

对于pytorch官网chatbot的教程做了模块化的处理,包含大量的注释

classification-of-trash-using-neural-networks icon classification-of-trash-using-neural-networks

The aim is to create a computer vision approach to classify garbage into recycling categories. This would be a very efficient way to process waste. The objective is to take images of a single piece of garbage and classify it according to its recyclability status. The multiclass classifier will be based on Convolutional Neural Networks.

cnn-deepsig icon cnn-deepsig

A re-built convolutional neural network from paper「DeepSig: deep learning improves signal peptide detection in proteins」

cnn-text-classification icon cnn-text-classification

Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0

cocoapi icon cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

customerinsights icon customerinsights

This application facilitates businesses with two types of analysers to analyse and understand their customers. Personality Insights will predict personality characteristics, needs and values through written text and analyse their individual scores. Tone Analyzer will predict emotions and communication tones in the written text and analyse their individual scores. First, user must select the type of analyser they want to use according to their requirement. Both analyser supports communication in three different languages that are English, French and Spanish. After selecting the appropriate language, user has to type or paste their communication text in that particular language in the text area and submit it. After submitting it will display the result of analysis in a tabular form. Prerequisite: Allow-Control-Allow-Origin chrome extension has to be added to make service requests.

da-faster-rcnn-pytorch icon da-faster-rcnn-pytorch

An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’

deep-learning-pd icon deep-learning-pd

Deep Learning for Parkinson's disease classification using the keyboard typing data

deeplabcut icon deeplabcut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals

deforcusmap icon deforcusmap

Implementaion of "Defocus Map Estimation from a Single Image" on Python

diabetics-prediction-gestational-diabetics- icon diabetics-prediction-gestational-diabetics-

These days its hard to predict gestational diabetics in ladies specially for preganant woman. so my project will give the outcome wheather the patient is suffering with gestational diabetics or not

dialog icon dialog

A PyTorch Implementation of japanese chatbot using BERT and Transformer's decoder

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.