Aniket Jivani's starred repositories

photo-similarity-search

Super simple MLX (apple silicon) CLIP based photo similarity web app

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cookbook

A collection of guides and examples for the Gemini API.

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manim-with-ease

Tutorial series for the community maintained version of Manim, https://www.manim.community

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CUDA-Winograd

Fast CUDA Kernels for ResNet Inference.

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torch-uncertainty

Open-source framework for uncertainty and deep learning models in PyTorch :seedling:

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UQpy

UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

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characterizing-pinns-failure-modes

Characterizing possible failure modes in physics-informed neural networks.

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sparse-winograd-cnn

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

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wincnn

Winograd minimal convolution algorithm generator for convolutional neural networks.

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trs-oden

Code for "Time-Reversal Symmetric ODE Network (NeurIPS 2020)"

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iTransformer

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group

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OBC

Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".

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mcufno

FNO inference/training for edge devices

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probnum

Probabilistic Numerics in Python.

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SemesterProgramme-SciML

Material for workshop and autumn school on scientific machine learning 2023

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blog-code

Code and files related to random side projects

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neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

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SimpleVAE

This repository provides implementation simplified Variational Autoencoder (VAE), producing smooth latent space completely unsupervised manner. And this can be used as generative model as well.

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PDEBench

PDEBench: An Extensive Benchmark for Scientific Machine Learning

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mcunet

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

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FourCastNet

Initial public release of code, data, and model weights for FourCastNet

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geospacelab

A python-based library to collect, manage, and visualize geospace data (e.g. OMNI, geomagnetic indices, EISCAT, DMSP, SWARM, TEC, AMPERE, etc.).

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neuraloperators-TL-scaling

Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML

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iTransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

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NIPS-Reproducibility-Challenge

Shape and Time Distortion Loss forTraining Deep Time Series Forecasting Models

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eecs598

Advanced Topics on Systems for X

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