nishalsach
PhD Student, Northwestern University; Building Human-AI systems for knowledge work.
@comp-journalism
Pinned Repositories
predicting_newsworthiness
ScienceDeJargonizer
ScienceDeJargonizer simplifies scientific jargon for journalists without scientific backgrounds, using LLMs . This tool transforms complex terms into clear explanations, aiding accurate and accessible science reporting.
awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
digital_science_news
Digital coverage of science and technology news from 2017-2021
firedata
Forest Fire Prediction Using LSTM Networks
fun_math
Trying out some neat little math-y stuff
lead_generation_app
nishalsach.github.io
My Hugo Blog
SciNewsDiscovery
Data and code to create a news discovery tool for science reporters.
nishalsach's Repositories
nishalsach/firedata
Forest Fire Prediction Using LSTM Networks
nishalsach/lead_generation_app
nishalsach/nishalsach.github.io
My Hugo Blog
nishalsach/awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
nishalsach/digital_science_news
Digital coverage of science and technology news from 2017-2021
nishalsach/fun_math
Trying out some neat little math-y stuff
nishalsach/genetic_epigenetic_mutations
Repository to document my work on modelling fitness landscapes with Dr. Sutirth Dey
nishalsach/python_hacks
Nifty Python features for data science and machine learning
nishalsach/resume
nishalsach/SciNewsDiscovery
Data and code to create a news discovery tool for science reporters.
nishalsach/jekyll_blog
Sachita Nishal's GitHub blog
nishalsach/lungcancer
nishalsach/ml_final
nishalsach/nishalsach
nishalsach/pcl_segmentation
nishalsach/protein-ligand
Using CNNs to Predict Protein-Ligand Binding Affinities
nishalsach/readlas2pcd
Code to read .las files and convert them to .pcd files for use with Point Cloud Library PCL - formatted to work with the PCL data from the trees project. Also allows for downsampling and centering of the point cloud.
nishalsach/spotify_data
Analysing my Spotify playlists and their networks