ashwinpn
NYU Courant Institute of Mathematical Sciences.
New York University - Courant Institute of Mathematical Sciences.Manhattan, New York City
Pinned Repositories
Advanced-Python
Python for Machine Learning/AI/DS, Game Theory and Convex Optimization using Python, Managing Docker in Python, Web Scraping / Development in Python using Django and Flask, Functional Programming in Python.
Applied-Data-Science-with-Python-Specialization-University-of-Michigan
Applied Data Science with Python Specialization: University of Michigan
canoe
Functional Telegram Bot API for Scala
Conditional-Random-Fields
An analysis and implementation of Conditional Random Fields.
Containers--ML-and-Cloud-Computing
Everything about how to deploy projects on the cloud, run ML workloads on the HPC cluster and on the cloud and the efficient configuration and management of related collaborative platforms [e.g. container orchestration].
dash
Analytical Web Apps for Python & R. No JavaScript Required.
Movie-Recommendation-Engines
Writing recommendation systems for movies, and performing data analysis on movie datasets to gain valuable insights.
covid-dashboard
Help welcomed if you have expertise in public health web technology, data modeling and munging, or visualization.
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
dash
Data Apps & Dashboards for Python. No JavaScript Required.
ashwinpn's Repositories
ashwinpn/Containers--ML-and-Cloud-Computing
Everything about how to deploy projects on the cloud, run ML workloads on the HPC cluster and on the cloud and the efficient configuration and management of related collaborative platforms [e.g. container orchestration].
ashwinpn/Conditional-Random-Fields
An analysis and implementation of Conditional Random Fields.
ashwinpn/Movie-Recommendation-Engines
Writing recommendation systems for movies, and performing data analysis on movie datasets to gain valuable insights.
ashwinpn/A-comprehensive-evaluation-of-sentiment-analysis-on-the-cloud
Real time sentiment analysis web application for movie reviews, packaged using docker, and deployed using kubernetes.
ashwinpn/Advanced-Database-Systems
Replicated Concurrency Control and Recovery project.
ashwinpn/Domain-Expertise---Data-Sciences
Domain Expertise - Social Sciences
ashwinpn/Domain-Expertise-Medical-Data-
Deep Learning and AI Domain Expertise: Medical Data - EHR [Electronic Health Records], Genomes Sequencing, Neuroscience, Biomedical.
ashwinpn/Graduate-Seminars
Grad Seminars I attended at NYU Courant.
ashwinpn/HPC-resources
In-depth resources for SLURM, HDFS, and Lustre
ashwinpn/A-primer-for-Generative-Adversarial-Networks
A primer for GAN's.
ashwinpn/aux
ashwinpn/Computer-Vision
Experiments on Neural Radiance Fields.
ashwinpn/inference
Transformers enabled inference
ashwinpn/kubernetes-ml-ops
An introduction to machine learning model deployment operations (MLOps) using Python, Docker, Kubernetes and Seldon-Core.
ashwinpn/LLM-advanced
Focus on optimization of LLMs
ashwinpn/mnist_inference
ashwinpn/Notes-on-Terraform
Learnings, Experiments and Readings on Terraform.
ashwinpn/Pandas-Primer
A primer on Pandas
ashwinpn/pmm
Percona Monitoring and Management: an open source database monitoring, observability and management tool
ashwinpn/promptfoo
Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
ashwinpn/pytorch_inference
ashwinpn/Readings
List of books which I have read, planning to read, or reading again.
ashwinpn/Reprozip
ashwinpn/Robo-advisor-and-systematic-trading
Basis, execution, and evaluation of execution strategies used in financial markets, and exploring the use of AI in driving decision making.
ashwinpn/Spot-Challenge-Wildfires
http://ibm.biz/cfcsc-wildfires - predict the wildfire area for 7 regions in Australia for each day in February 2021
ashwinpn/submission_docker
ashwinpn/torch-mlir
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
ashwinpn/Vision-KAN
KAN for Vision Transformer
ashwinpn/WikiSea
Search Engine for Wikipedia.
ashwinpn/Working-with-data.
Skills learnt while attending the New York University Love Data Week Datathon