aswanthkrishna

flytekit

Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.

18S191

Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:

AGMC

AGMC: Auto Graph encoder-decoder for Model Compression and Network Acceleration

awesome

😎 Awesome lists about all kinds of interesting topics

Awesome-AutoDL

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-nas-papers

Awesome Neural Architecture Search Papers

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

awesome-quantum-ml

Curated list of awesome papers and resources in quantum machine learning

Best-README-Template

An awesome README template to jumpstart your projects!

c3

Toolset for control, calibration and characterization of physical systems

Compiler

Compiler for decimal addition with quantum computer

CompOFA

[ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment

darts-pt

[ICLR2021oral] Rethinking Architecture Selection in Differentiable NAS

deepqmc

Deep learning quantum Monte Carlo for electrons in real space

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

FLAML

A fast and lightweight AutoML library.

mathbox

Presentation-quality WebGL math graphing

nextarter-preview

paperQA

an interactive chatbot for understanding scientific papers

pygraphblas

GraphBLAS for Python

qcor

C++ compiler for heterogeneous quantum-classical computing built on Clang and XACC

qpiai-frontend-assignment

qpiai-pro-flyte-client

qsymm

A mirror of https://gitlab.kwant-project.org/qt/qsymm

quimb

A python library for quantum information and many-body calculations including tensor networks.

Ryven

Flow-based visual scripting for Python

Simulator

A simple Quantum Simulator

skypilot

SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

skypilot_experiments

a set of experiments run using skypilot cloud orchestrator especially around llms

TANS

This is an official PyTorch implementation of Task-Adaptive Neural Network Search with Meta-Contrastive Learning (NeurIPS 2021, Spotlight).