davejscott
M.Sc. UAlberta & Tsinghua. Sr Machine Learning Engineer at Instacart. Love the outdoors & language learning
New York
Pinned Repositories
2019-UNSW-Datathon-Sydney
Final round of the 2019 UNSW Datathon in Sydney Australia, qualified by placing first in the regional round at Tsinghua University in Beijing
2019-UNSW-Tsinghua-Data-Science-Competition
My team's utilized code in the 2019 UNSW Tsinghua Data Science Competition
ADL_demo
Application-of-Machine-Learning-on-Standard-Datasets
In this repository, I apply different machine learning tactics and workflows to standard areas. I'd like to think this is an area where I can freely test my skills and knowledge on different datasets and workflows.
big_data_cup_2021_hockey
Canonical-Variate-Analysis-CVA
Simple Canonical Variate Analysis (CVA) utilizing Python
Dave-CV
Dave's CV
Probabilistic_slow_feature_analysis
Probabilistic Slow Feature Analysis (PSFA) is a leading non-supervised machine learning algorithm to extract slowly varying features from time series data. This rendition of PSFA is effective for extracting slowly varying features from non-stationary and stationary process data
PythonDataScience
Working to develop more skillsets in data visualization and manipulation with Python for upcoming Data Science Competition in September 2019
ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
davejscott's Repositories
davejscott/Probabilistic_slow_feature_analysis
Probabilistic Slow Feature Analysis (PSFA) is a leading non-supervised machine learning algorithm to extract slowly varying features from time series data. This rendition of PSFA is effective for extracting slowly varying features from non-stationary and stationary process data
davejscott/Dave-CV
Dave's CV
davejscott/2019-UNSW-Tsinghua-Data-Science-Competition
My team's utilized code in the 2019 UNSW Tsinghua Data Science Competition
davejscott/Canonical-Variate-Analysis-CVA
Simple Canonical Variate Analysis (CVA) utilizing Python
davejscott/PythonDataScience
Working to develop more skillsets in data visualization and manipulation with Python for upcoming Data Science Competition in September 2019
davejscott/2019-UNSW-Datathon-Sydney
Final round of the 2019 UNSW Datathon in Sydney Australia, qualified by placing first in the regional round at Tsinghua University in Beijing
davejscott/Application-of-Machine-Learning-on-Standard-Datasets
In this repository, I apply different machine learning tactics and workflows to standard areas. I'd like to think this is an area where I can freely test my skills and knowledge on different datasets and workflows.
davejscott/big_data_cup_2021_hockey
davejscott/Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
davejscott/AWSui
Simple AWS UI for ECS and EC2 Instances, bringing up Docker containers written in Python
davejscott/Big-Data-Cup-2021
Big Data Cup 2021: Powered by Stathletes
davejscott/CACHE-Canada-China-Extraordinary
Tsinghua's 2019 Hackathon from May 17-19 2019 CACHE-Canada-China-Extraordinary's repository
davejscott/community
Information about the Kubeflow community including proposals and governance information.
davejscott/CS50AI
CS50AI projects for Harvard's CS 50 AI Course
davejscott/CVApril2020
Dave's CV
davejscott/data-version-control
davejscott/davejscott
Config files for my GitHub profile.
davejscott/elastic
PyTorch elastic training
davejscott/en-ch-NMT
a neural machine translation system from english (chinese) to chinese (english) based on 30m parallel data.
davejscott/jenkins-x-boot-config
the default GitOps source repository for booting up Jenkins X
davejscott/Keras
Utilizing Keras as a tool for learning and applying ML and Deep Learning concepts learned from Master's program at the University of Alberta and Tsinghua University.
davejscott/Kerasnotebooks
Self-learning and troubleshooting with Keras
davejscott/kustomize
Customization of kubernetes YAML configurations
davejscott/machine-learning
Content for Udacity's Machine Learning curriculum
davejscott/Machine-learning-w-tensorflow-python
Fundamentals of machine learning with tensorflow and python
davejscott/mta
Multi-Touch Attribution
davejscott/my_uTensor
Example of running a neural network on a Nucleo-F429ZI to perform image classification on MNIST dataset
davejscott/python_data_structures
Practicing Implementing Data Structures from scratch for interview preparations
davejscott/UtensorExamples
Examples where I utilize Utensor to do Machine Learning on the edge
davejscott/Website_blog_2021