Tan Tran's repositories
Speaker-Embeddings
Implementation of Generalized End-to-end Loss for Speaker Verification, which yields speaker embeddings as results.
Kaggle-Data-Science-Bowl-2019
Kaggle Data Science Bowl 2019, key things that we learnt from one of the biggest data science competition
Gender-Classification-based-on-Twritter-textual-data
A comprehensive baseline model for Gender Classification based on Twitter Profile Data
vietnamese-text-cleaning
Vietnamese Text Cleaning - A script of different cleaning steps for Vietnamese textual data. Conducted under the context of Zalo AI Challenge.
Basic-Pytorch
A beginning with Pytorch tutorial
Deep-RL-Tour-De-Flags-Game
A simple practice on Deep RL with Tour De Flags Game.
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
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.
Flask-Blog-App-1
The first and simple Flask blog app
Hands-on-Titanic-Dataset
My first time hands-on practice with a data science project
machine-learning-systems-design
A booklet on machine learning systems design with exercises
ml-from-scratch
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
Python-Wrapper-for-World-Vocoder
A Python wrapper for the high-quality vocoder "World"
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
Sign-Language-Classification-using-Deep-Learning
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
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
tranctan.github.io
Github page of me -->
atom-assignments
Data skills & Quantitative methods - DATAcracy ATOM workshop
emo-voice-demo
Nothing fancy, just basic algorithms on extracting, manipulating and resembling pitch to generate different emotional voices (happy, sad, angry, etc.)
python-for-data
Set of notebooks that contain basic Python concepts, suitable for Data-related roles that want to use Python.
TensorFlowTTS
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)