Tia Dwi Setiani's repositories
tiadwi
Config files for my GitHub profile.
100-Days-of-Python-Code
Repository for Udemy Course
demo-ilt-2-ml
This is a demo repo for ILT-2 to demonstrate how to make a pull request.
Automated-Essay-Scoring
Kaggle 2012 Hewlett Automated Student Assessment Prize (ASAP) - Automated Essay Scoring
demo-ilt3-ml
This is a demo repository for ILT 3 Machine Learning
opencv
Open Source Computer Vision Library
TrainYourOwnYOLO
Train a state-of-the-art yolov3 object detector from scratch!
cs329s-ml-deployment-tutorial
Code and files to go along with CS329s machine learning model deployment tutorial.
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
tensorflow_object_counting_api
🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!
tiadwi.github.io
Build a Jekyll blog in minutes, without touching the command line.
TFJS-object-detection
Real-time custom object detection in the browser using tensorflow.js
Keras-GAN
Keras implementations of Generative Adversarial Networks.
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Linear_Algebra_With_Python
Lecture Notes for Linear Algebra Featuring Python
twitter-sentiment-analysis
What if we could see the emotions and moods of people through the breadcrumbs they leave on Twitter ?
markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
applied-machine-learning-intensive
Applied Machine Learning Intensive
Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-
Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.