akash-y's repositories
awesome-mlops
A curated list of references for MLOps
awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
CUSP_CEQR
CUSP Capstone
digitalceqr
digitizing CEQR analysis by chapters in order to make it an adaptive design tool instead of a disclosure document. This project will be the baseline for the REAL-TIME PLANNING OUTCOMES ANALYTICS TOOL developed under the startup *inCitu*.
glific
The Main application that provides the core interface via the glific APIs
kepler.gl
Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
predicting-poverty-replication
A Python3 and PyTorch replication of Jean et al. (2016). Original paper Github: https://github.com/nealjean/predicting-poverty
satellite-imagery-labeling-tool
This is a lightweight web-interface for creating and sharing vector annotations over satellite/aerial imagery scenes.
smartnoise-samples
Code samples and documentation for SmartNoise differential privacy tools
tidal_wetland
This repository contains codes and data for the capstone project of tidal wetland
Treepedia_Public
Treepedia package for public use
xView2_baseline
Baseline localization and classification models for the xView 2 challenge.