Discover tranctan/Sign-Language-Classification-using-Deep-Learning

Stars
2
Language
Jupyter Notebook
Created almost 5 years ago
Updated almost 5 years ago

tranctan

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

This work is mainly based on the tutorial on Keras-Tensorflow, under the context of Sign Language MNIST Dataset too see how well CNN perform on this problem

Speaker-Embeddings

Implementation of Generalized End-to-end Loss for Speaker Verification, which yields speaker embeddings as results.

Python

Kaggle-Data-Science-Bowl-2019

Kaggle Data Science Bowl 2019, key things that we learnt from one of the biggest data science competition

Jupyter Notebook

vietnamese-text-cleaning

Vietnamese Text Cleaning - A script of different cleaning steps for Vietnamese textual data. Conducted under the context of Zalo AI Challenge.

Jupyter Notebook

Gender-Classification-based-on-Twritter-textual-data

A comprehensive baseline model for Gender Classification based on Twitter Profile Data

Jupyter Notebook

Flask-Blog-App-1

The first and simple Flask blog app

Python

tranctan.github.io

Github page of me -->

HTML

Deep-RL-Tour-De-Flags-Game

A simple practice on Deep RL with Tour De Flags Game.

Jupyter Notebook

Basic-Pytorch

A beginning with Pytorch tutorial

Jupyter Notebook

tranctan

Hands-on-Titanic-Dataset

My first time hands-on practice with a data science project

Jupyter Notebook

Feature-Scaling-on-Mobile-Price-Classification

The scope of this works includes 2 distance-based models, which are KNN and SVM, and experiment how scaling features affects the performance of these 2 models. The work is conducted under the context of Mobile Price Classification dataset from Kaggle.

Jupyter Notebook

tranctan/Sign-Language-Classification-using-Deep-Learning

tranctan

Reviews

Repository Details

More Repositories