ameya98
PhD Student at MIT EECS with the Atomic Architects. Previously at Google Research and the MLIA group at NASA JPL.
Cambridge, MA
Pinned Repositories
ActionAngleNetworks
The official JAX implementation of Action-Angle Networks!
DeepGenerativeModels
PyTorch Implementations of Popular Deep Generative Models.
ExoticDataStructures
Exotic data structures in C++14.
GeneticAlgorithmsRepo
Genetic algorithm packages for optimization in Python.
GraphAlgorithmsVisualized
Graph algorithms visualized - with d3.js
PySClump
Python Implementation of 'Spectral Clustering in Heterogeneous Information Networks'.
TimeSeriesVisualization
Visualization of Time-Series with the Matrix Profile and Multidimensional Scaling.
WebPPL
Bayesian learning and inference with WebPPL.
densratio_py
A Python Package for Density Ratio Estimation
ameya98's Repositories
ameya98/ActionAngleNetworks
The official JAX implementation of Action-Angle Networks!
ameya98/DeepGenerativeModels
PyTorch Implementations of Popular Deep Generative Models.
ameya98/LearningForceFields
Learning Molecular Force Fields with e3nn
ameya98/PolymorphismInC
An example of how to emulate runtime polymorphism in C via function-pointers.
ameya98/pr2roc
Resample precision-recall curves correctly!
ameya98/saxpy
SAX (Symbolic Aggregate approXimation) and algorithms (HOT-SAX and SAX-VSM) Python implementations
ameya98/snap-python
SNAP Python code, SWIG related files
ameya98/allegro-jax
ameya98/ameya98.github.io
Just a plain, simple and elegant one-page theme for research/academia.
ameya98/CommonLoopUtils
My fork of CLU for MacOS-compatibility.
ameya98/DensityRatioEstimation
A Python Package for Density Ratio Estimation
ameya98/DisCOVID
Team 88's repository for the JHU Design Challenge.
ameya98/e3nn-jax
Ameya's fork of e3nn-jax.
ameya98/electron-chat-app-demo
Bootleg WhatsApp Chat with Electron and React
ameya98/flax
Flax is a neural network library for JAX that is designed for flexibility.
ameya98/GNNs-Recipe
A recipe to study Graph Neural Networks (GNNs)
ameya98/iclr-blog-track.github.io
Ameya's fork of the blog post.
ameya98/matrixprofile-ts
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
ameya98/nequip-jax
ameya98/ns2.35
ns2 for research
ameya98/schnetpack
SchNetPack - Deep Neural Networks for Atomistic Systems
ameya98/schnetpack-gschnet
G-SchNet extension for SchNetPack
ameya98/DIG
A library for graph deep learning research
ameya98/e3_diffusion_for_molecules
Ameya's fork of EDM
ameya98/google-research
Google Research
ameya98/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
ameya98/minified-generative-models
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs.
ameya98/NTK-Generalization
Reproducing the results of 'Spectral Bias and Task-Model Alignment Explain Generalization in Kernel Regression and Infinitely Wide Neural Networks'
ameya98/pyspectra
Library for computing, inverting, and visualizing spectra of local atomic environments
ameya98/st-speckmol
🧬Streamlit Component for creating Speck molecular structures within Streamlit Web app🚀.