thilak-cm Goto Github PK

followers: 7.0 following: 10.0 repos: 23.0 gists: 0.0

Name: Thilak CM

Type: User

Bio: ML, DL and NLP coder;Photographer; typing enthusiast

Twitter: thilak13928656

Location: Bangalore, India

Blog: https://unsplash.com/@thilak_cm212/stats

hey there 🌊, i'm thilak mohan

i'm studying masters of science in applied machine learning at university of maryland, college park. i have a 4.0 and i'm graduating may '25.

🔭 i’m currently working as a data scientist at an AI stock trading company
🌱 i’m currently learning
- ML for finance
- MSML606: Data Structures and Algorithms for Machine Learning
- CMSC 818I: Multimodal foundations models (this fall) by jia bin huang
- CMSC818I: large anguage models, security, and privacy by yizheng chen
- Typing out all of this faster than you can read it 💨
some of my fav courses
- CMSC720: foundations of deep learning by soheil feizi
- MSML604: introduction to optimization
📝 i am an avid photographer. check out my photos here
💬 ask me about any AI resources because i'm an information sponge, my insatiable passion for AI, and my project ideas
⚡ fun fact jon bellion is one of the best artists of our time owing to his god's gifted talent, on-point understanding of the world's cultural fabric and the role music makers play in it, his resolute love for his family and his abhorrence of companies that exploit musicians; fight me

Connect with me:

📫 how to reach me click here
my resume: click here

Languages and Tools:

Thilak CM's Projects

andriod-malware-detection-adroit-

climate-change-data

:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change

cyber-bully-detection-using-nlp

Detect cyberbullying using NLP tools

dmsp-particle-precipitate-flux-prediction-mesoscale-

🧾Description: We advance the modelling capability of electron particle precipitation from the magnetosphere to the ionosphere through a new database and use of deep learning (DL) tools to gain utility from those data. We have compiled, curated, analyzed, and made available a new and more capable database of particle precipitation data that includes 51 satellite years of Defense Meteorological Satellite Program (DMSP) observations temporally aligned with solar wind and geomagnetic activity data. The new total electron energy flux particle precipitation nowcast model, a neural network called PrecipNet, takes advantage of increased expressive power afforded by ML approaches to appropriately utilize diverse information from the solar wind and geomagnetic activity and, importantly, their time histories. With a more capable representation of the organizing parameters and the target electron energy flux observations, PrecipNet achieves a >50% reduction in errors from a current state‐of‐the‐art model oval variation, assessment, tracking, intensity, and online nowcasting (OVATION Prime), better captures the dynamic changes of the auroral flux, and provides evidence that it can capably reconstruct mesoscale phenomena. We create and apply a new framework for space weather model evaluation that culminates previous guidance from across the solar‐terrestrial research community. research paper manuscript - Click Here

english-to-hindi-text-translation-

🧾Description: The IIT Bombay English-Hindi corpus contains parallel corpus for English-Hindi as well as monolingual Hindi corpus collected from a variety of existing sources and corpora developed at the Center for Indian Language Technology, IIT Bombay over the years. This page describes the corpus. This corpus has been used at the Workshop on Asian Language Translation Shared Task since 2016 the Hindi-to-English and English-to-Hindi languages pairs and as a pivot language pair for the Hindi-to-Japanese and Japanese-to-Hindi language pairs.