![:electron: :electron:](https://github.githubassets.com/images/icons/emoji/electron.png)
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NIST
- Gaithersburg
- https://orcid.org/0000-0002-2591-4939
- in/pushkarsathe
Highlights
- Pro
Starred repositories
PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)
Release for Improved Denoising Diffusion Probabilistic Models
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
The official Python library for the OpenAI API
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)
Refine high-quality datasets and visual AI models
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data
The fastai book, published as Jupyter Notebooks
A public repository collecting links to state of the art QA and evaluation sets for various ML and LLM applications
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
My personal website - built with React, React-Router, React-Snap for Static-Export, and GitHub Pages.
ChemNLP: A Natural Language Processing based Library for Materials Chemistry Text Data
STUMPY is a powerful and scalable Python library for modern time series analysis
A sane Clojure API for Maven Artifact Resolver + dynamic runtime modification of the classpath
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Materials graph network with 3-body interactions featuring a DFT surrogate crystal relaxer and a state-of-the-art property predictor.
A curated list of awesome frameworks, libraries and software for the Java programming language.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Solving the Traveling Salesman Problem using Self-Organizing Maps
PyTorch package for the discrete VAE used for DALL·E.
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
All Algorithms implemented in Python
Analysis of data produced by cvapipe for the variance paper