Shishira R Maiya (abhyantrika)

abhyantrika

Geek Repo

Company:@umiacs

Location:Washington DC

Home Page:cs.umd.edu/~shishira/

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Shishira R Maiya's starred repositories

logseq

A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com/b/8txSM12G/roadmap

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gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

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FinRL

FinRL: Financial Reinforcement Learning. 🔥

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awesome-implicit-representations

A curated list of resources on implicit neural representations.

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awesome-neural-rendering

Resources of Neural Rendering

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pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

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HashNeRF-pytorch

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

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logseq-plugin-agenda

A calendar, task manager and daily planner plugin for logseq

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databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

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evdi

Extensible Virtual Display Interface

PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

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Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code.

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wise-ft

Robust fine-tuning of zero-shot models

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NeuralCompression

A collection of tools for neural compression enthusiasts.

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siren-pytorch

Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function

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dashboard

Customizable personal dashboard and startpage

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nerf-meta

NeRF Meta-Learning with PyTorch

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coinpp

Pytorch implementation of COIN++ 🍁

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fourier-feature-networks

An unofficial pytorch implementation of 《Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains》

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glymur

Python interface to OpenJPEG library for reading and writing JPEG 2000 images.

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LilNetX

Official PyTorch implementation of LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification

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inr_based_compression

Contains the implementation of the paper "Implicit Neural Representation for Image Compression" at ECCV 2022

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pytorch-fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

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DCTransformer-PyTorch

Unofficial PyTorch implementation of the paper "Generating images with sparse representations"

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JPEG2000

An implementation of JPEG2000 written in Matlab

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learnit_exp

some experiments for "learned initializations for optimizing coordinate-based neural representations"

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