ssimontacchi Goto Github PK

1906-traffic-patterns-market-st-sf

Built a model to recognize objects in 1906 video of Market Street, SF, then use perspective transformation and time-series plot to analyze traffic patterns.

autonomous-car-projects

Projects and exercises studying the engineering of autonomous cars with Udacity's Autonomous Car Engineering Nanodegree Program

carnd-advanced-lane-lines

classifying-traffic-signs

Implemented LeNet and LeCun-Sermanet architectures to classify Traffic Signs

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

empathy_prediction

Models to Detect Empathy and Sentiment with Bert, Distilbert, and traditional NLP techniques

finding_lane_lines

Lane Finding Project for Self-Driving Car ND

fraud-detection

Detecting Fraud with calibrated probabilities across class imbalances.

handicap-accessibility-deserts-in-sf

Identifying accessibility deserts for the physically handicapped in San Francisco

imglab

To speedup and simplify image labeling/ annotation process with multiple supported formats.

insight_project_framework

Framework for machine learning projects at Insight Data Science

log_summarizer

Log summarizing DAG pipeline with decorators

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

ml-powered-applications

Companion repository for the book Building Machine Learning Powered Applications

models

Models and examples built with TensorFlow

monodepth

Unsupervised single image depth prediction with CNNs

predicting-auction-prices

Built pipeline with LASSO, Ridge, OLS and ensembling to predict sale prices with messy data for Galvanize Data Science Immersive regression case study

predicting-gpa-from-admissions-scores

Takes years of real admissions and GPA data and cleans, merges, and analyzes to find most important factors of student success

raccoon_dataset

The dataset is used to train my own raccoon detector and I blogged about it on Medium

regression_case_study

Built pipeline with LASSO, Ridge, OLS and ensembling to predict sale prices with messy data

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

sensems

Investigation into the effects of frame-rate on neural network classification accuracy of multiple sclerosis.

test

test2

tfrecord_utility

Generate and view TensorFlow's TFRecord file.

traffic-sign-classifier

Developing a traffic sign classifier build off of LeNet NN architecture

wavernn

WaveRNN-based waveform generator & demo of TensorFlow CuDNN-GRU usage.