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amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

course_project

Projects I did while in UCLA. Topics include Database Theory, Operating Systems, Data structures & Algorithm. Projects are done in C++, C and Python

coursera_advanced-ml

This course cover more of the theory bit of Machine Learning. Topics covered: CNN, RNN(LSTM, GRU), Unsup Learning(AutoEncoders). Projects are all done in TensorFlow.

cursor_clone

An editor made for programming with AI 🤖

digital_you

dump

experiments

Stuff I played around in work

exploratory-data-analysis

Hobby Data Exploration Projects to satiate my curiosities

gptq-models

int4 quantized models

missing_child

A Machine Learning Project to detect kinship relationship to help missing children re-unite with their parents

paraphrase_identification

Examine two sentences and determine whether they have the same meaning.

pentahacks_acto_project

A Machine Learning project that aims to make sales representative better at selling. We tried to do pose estimation to look analyze their body language, as well as, analyze their tone to see if their being an effective salesman

pic2smilespaper

Paper about a model that convert a chemical diagram drawing to its computer representation

react-native-graph

Graphs and Charts for React Native

silent-speech

Cool silent speech things

tldr

Experimented with a few models on summarization, wants to learn how companies approach data privacy in light of CCPA

torch-int

This repository contains integer operators on GPUs for PyTorch.

tyler_silent_speech

Official repository for "A Cross-Modal Approach to Silent Speech with LLM-Enhanced Recognition"

udacity_dataeng

Udacity's Data Engineering Nanodegree (SQL, PySpark, Airflow, Amazon S3, Redshift)

udemy_tensorflow_deeplearning

Course covers the basics of TensorFlow. It also cover a breadth of Machine Learning Topic (CNN, Autoencoders, GAN, Reinforcement Learning)

video-trait

In this object, we try to classify user into one of the 16 personalities according to Myers-Briggs. We represented objects seen in user's favourite videos and trained our own ML model (LSTM) to do so.