jasonx1011,Jason,github

bike-sharing

[Numpy] Bike-Sharing Prediction using Feedforward Neural Networks (FNNs); Implemented MLP, SGD and backpropagation using Numpy to predict daily ridership, validation loss (MSE) = 0.14

cifar-innovation

[TensorFlow] Designed the Multi-Periodic Activation Layer of FNNs and CNNs in Image Classification

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

densecap-tensorflow

Re-implement CVPR2017 paper: "dense captioning with joint inference and visual context" and minor changes in Tensorflow. (mAP 8.296 after 500k iters of training)

face-generation

[TensorFlow] Face Generation using Generative Adversarial Networks (GANs); Generated new images from MINST & CelebA dataset using batch normalization technique, D/G Loss = 0.5 - 1.8

fullstack-pinitt

A Full Stack project built on Ruby on Rails, JS, React/Redux.

image-classification

[TensorFlow] Image Classification using Convolutional Neural Networks (CNNs); Classified images from the CIFAR-10 dataset using maxpool and dropout techniques, validation accuracy = 0.60

language-translation

[TensorFlow] Language Translation using seq2seq RNNs; Translated new sentences from English to French using encoder/decoder techniques, validation accuracy = 0.96

rag-chatbot

LLM chatbot based on Retrieval Augmented Generation (RAG)

sentiment-network

Deep Learning Foundation Nanodegree Program. Mini Project: sentiment-network

social-group

[Django] Social Platform Web Application using Django (Full Stack Developer)

stock-tensorflow

[TensorFlow] Stock Prediction Application using Feedforward Neural Networks (FNNs); Predicted the daily S&P500 index price using TensorFlow with multiple input features, validation error ~= 1%

temperature-prediction

[Scikit-learn] Temperature Prediction Application using Machine Learning Algorithms; Predicted daily temperature using multiple Linear Regression models & MLP with Scikit-learn, score = 0.85

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow-tutorial

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

tv-script-generation

[TensorFlow] Generate TV Scripts using Recurrent Neural Networks (RNNs); Generated new Simpsons TV scripts using word embedding and LSTM techniques, cross-entropy loss = 0.33

USC Image Processing Term Project (2009): Improved the Multi-scale Error Diffusion (MED) Technique of Digital Halftoning using C (Image Processing); Improved MED runtime by 70%; implemented other algorithms: Direct Binarization, Dithering, and Error Diffusion

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