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amc

[ECCV 2018] PyTorch implementation for AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

amc-compressed-models

[ECCV 2018] Compressed models from AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

application_materials

apq

[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

composer

train neural networks >2x faster

domain-specific-architectures

A collection of research efforts (papers, slides, open-source) for domain-specific architectures (DSA).

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastsc

Frequency-Aware Synthesis Toolbox for Superconducting Quantum Computers

hanrui-wang

hanrui-wang.github.io

Hanrui Wang's homepage

kws_kaggle

Kaggle TensorFlow Speech Recognition Challenge, Bronze Medal

onnx-profiler

A simple yet useful profiler for NN models (currently supporting ONNX and PyTorch models).

places_devkit

Development kit for the data of the Places365-Standard and Places365-Challenge

presentations

pynq

Python Productivity for ZYNQ

pytorch-ddpg

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

pytorch-quantum

A PyTorch-centric hybrid classical-quantum machine learning framework

pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

qiskit

Qiskit is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms.

qiskit-textbook

A university quantum algorithms/computation course supplement based on Qiskit

quantum-computer-systems-lectures

quantum-drug-discovery-challenge

quantum-quest-data

test_anony

tinyml-contest-solution

tutorial-template

Template for the Read the Docs tutorial