Pinned Repositories
detr
End-to-End Object Detection with Transformers
dsc-mod-3-project-online-ds-sp-000
KITTI_visual_odometry
Tutorial for working with the KITTI odometry dataset in Python with OpenCV. Includes a review of Computer Vision fundamentals.
lingonaut-python
Lightweight Python implementation of LingoNaut for multilingual language learning.
mod4project
Consulting an imaginary real estate investment firm using historical housing sales price data and SARIMAX time series modeling. Flatiron Module 4 Project.
mod5project
Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.
mod6project
Training autonomous vehicles with Augmented Random Search algorithm in the Carla driving simulator. Flatiron Capstone Project.
project2_advanced_lane_lines
Project 2 for Udacity Self-Driving Car Engineer Nanodegree, which involves finding lane lines and their curvature, as well as the car's location wrt the lane center.
research-crew
A CrewAI research crew for helping expedite research and writing efforts.
tda_scraper
A web-scraper which uses selenium webdriver to obtain in-depth data from TD Ameritrade website for use with python.
FoamoftheSea's Repositories
FoamoftheSea/mod5project
Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Module 5 Project.
FoamoftheSea/project2_advanced_lane_lines
Project 2 for Udacity Self-Driving Car Engineer Nanodegree, which involves finding lane lines and their curvature, as well as the car's location wrt the lane center.
FoamoftheSea/mod4project
Consulting an imaginary real estate investment firm using historical housing sales price data and SARIMAX time series modeling. Flatiron Module 4 Project.
FoamoftheSea/kitti-object-eval-python
Fast kitti object detection eval in python(finish eval in less than 10 second)
FoamoftheSea/project3_traffic_sign_classifier
Project 3 for Udacity Self-Driving Car Engineer Nanodegree. Uses Keras to implement LeNet architecture on a classification task using images of traffic signs.
FoamoftheSea/CarND_coursework
Contains quizzes, labs, and other materials from my work in the Self-Driving Car Engineer Nanodegree.
FoamoftheSea/CarND_project3_traffic_sign_classifier
Udacity Self-Driving Car Engineer Nanodegree - Term 1 - Project 3 - Traffic Sign Classifier
FoamoftheSea/cocoapi
COCO API - Dataset @ http://cocodataset.org/
FoamoftheSea/DNAtoMidi
Convert DNA sequences to Midi: Listen to DNA
FoamoftheSea/ds-word-vectorization-lab-online-ds-sp-000
FoamoftheSea/dsc-context-free-grammars-codealong-online-ds-sp-000
FoamoftheSea/dsc-corpus-statistics-lab-online-ds-sp-000
FoamoftheSea/dsc-data-science-env-online-ds-sp-000
FoamoftheSea/dsc-deeper-neural-networks-lab-online-ds-sp-000
FoamoftheSea/dsc-image-classification-with-mlps-lab-online-ds-sp-000
FoamoftheSea/dsc-introduction-to-keras-lab-online-ds-sp-000
FoamoftheSea/dsc-introduction-to-neural-networks-lab-online-ds-sp-000
FoamoftheSea/dsc-network-community-detection-lab-online-ds-sp-000
FoamoftheSea/dsc-network-recomendation-systems-lab-online-ds-sp-000
FoamoftheSea/dsc-text-classification-lab-online-ds-sp-000
FoamoftheSea/dsc-tuning-neural-networks-with-normalization-lab-online-ds-sp-000
FoamoftheSea/dsc-tuning-neural-networks-with-regularization-lab-online-ds-sp-000
FoamoftheSea/dsc-visualizing-activation-functions-lab-online-ds-sp-000
FoamoftheSea/dsc-visualizing-intermediate-activations-online-ds-sp-000
FoamoftheSea/opencv
Open Source Computer Vision Library
FoamoftheSea/patchnet
Fork of Code release for "Rethinking Pseudo-LiDAR Representation (ECCV2020)".
FoamoftheSea/PointRCNN
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
FoamoftheSea/project1_lane_lines
Project 1 for Udacity Self-Driving Car Engineer Nanodegree. Uses OpenCV to find lane lines.
FoamoftheSea/PVT
Fork of Official implementation of PVT series
FoamoftheSea/Waymo_detection_challenge
All work and code related to the object detection challenges using the Waymo Perception dataset.