Piyush R. Maharana's Projects
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, LLMs, RAGs, LangChain, Fine-tuning Llama 3 & AI Agents (CrewAI)
Harvard Applied Math 205: Code Examples
Collection of google colaboratory notebooks for fast and easy experiments
A curated list of awesome responsible machine learning resources.
Notes for M.Sc degree
LangChain text summarizer app
Computational physics numerical methods codes
94% on CIFAR-10 in 3.09 seconds ๐จ 96% in 27 seconds
Miscellaneous codes for BSc and MSc
PhD coursework notes
Gradient Descent in 1D and 2D
Example implementations of common machine learning projects in chemistry.
This is the source code for the animations in the series "Visualizing Deep Learning"
Fortran and Python examples to accompany the book "Computer Simulation of Liquids" by Michael P. Allen and Dominic J. Tildesley (2nd edition, Oxford University Press, 2017). Use the "Clone or download" button, or follow the "...releases" link below.
Material related to the PRACE MOOC on Fortran programming
Papers and articles on High Entropy Alloys
A collection of Jupyter Notebooks that are designed to teach life science students about deep learning.
A Google-Colab Notebook Collection for Materials Design: https://jarvis.nist.gov/
Useful links
A collection of benchmarks and datasets for evaluating LLM.
Notebooks and resources related to Large Language Models
All the handwritten notes ๐ and source code files ๐ฅ๏ธ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
๐ค Interactive Machine Learning experiments: ๐๏ธmodels training + ๐จmodels demo
Animation engine for explanatory math videos
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.