- An Energy-Efficient Configurable Lattice Cryptography Processor for the Quantum-Secure Internet of Things. ISSCC-2019
- A 28nm Bulk-CMOS 4-to-8GHz ¡2mW Cryogenic Pulse Modulator for Scalable Quantum Computing. ISSCC-2019
- A Scalable Quantum Magnetometer in 65nm CMOS with Vector-Field Detection Capability. ISSCC-2019
- A 48GHz 5.6mW Gate-Level-Pipelined Multiplier Using Single-Flux Quantum Logic. ISSCC-2019
leigh-johnson
/ quantum_arch.md
Created
October 21, 2024 06:46
— forked from Zhaoyilunnn/quantum_arch.md
quantum_arch
leigh-johnson
/ log.do_compile.2280811
Created
November 27, 2022 22:56
libcamera/202210+gitAUTOINC+7219110a12-r0
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| DEBUG: Executing shell function do_compile | |
| [1/154] /home/leigh/projects/poky/build-rpi4/tmp/work/cortexa72-bitsy-linux/libcamera/202210+gitAUTOINC+7219110a12-r0/git/utils/gen-header.sh /home/leigh/projects/poky/build-rpi4/tmp/work/cortexa72-bitsy-linux/libcamera/202210+gitAUTOINC+7219110a12-r0/git/include/libcamera include/libcamera/libcamera.h | |
| [2/154] aarch64-bitsy-linux-g++ -mcpu=cortex-a72 -march=armv8-a+crc -fstack-protector-strong -O2 -D_FORTIFY_SOURCE=2 -Wformat -Wformat-security -Werror=format-security --sysroot=/home/leigh/projects/poky/build-rpi4/tmp/work/cortexa72-bitsy-linux/libcamera/202210+gitAUTOINC+7219110a12-r0/recipe-sysroot -Isrc/libcamera/base/libcamera-base.so.0.0.1.p -Isrc/libcamera/base -I../git/src/libcamera/base -Iinclude -I../git/include -fdiagnostics-color=always -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Wnon-virtual-dtor -Wextra -Werror -std=c++17 -O0 -Wshadow -include /home/leigh/projects/poky/build-rpi4/tmp/work/cortexa72-bitsy-linux/libcamera/202210+gitAUTOINC+7219110a12-r0/bui |
leigh-johnson
/ google-cloud-automl-metrics-vision.ipynb
Last active
April 17, 2021 23:30
Google AutoML Metrics Example
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leigh-johnson
/ automl_evalutation_metrics.py
Last active
February 24, 2021 05:12
TensorFlow Everywhere North America - scripts and snippets
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| ### | |
| # Load AutoML evaluation metrics via Python API client | |
| ## | |
| from google.cloud import automl | |
| from google.protobuf.json_format import MessageToDict | |
| import pandas as pd | |
| project_id = "your-project-id" | |
| model_id = "your-model-id" # look for modelId= in the GCP console url |
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| # setup.py | |
| import os | |
| from setuptools import setup | |
| arch = os.uname().machine | |
| if arch == 'armv7l': | |
| tensorflow = 'tensorflow @ https://github.com/bitsy-ai/tensorflow-arm-bin/releases/download/v2.4.0-rc2/tensorflow-2.4.0rc2-cp37-none-linux_armv7l.whl' | |
| elif arch == 'aarch64': |
leigh-johnson
/ schema
Created
November 15, 2020 07:53
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| { | |
| "openapi": "3.0.3", | |
| "info": { | |
| "title": "", | |
| "version": "0.0.0" | |
| }, | |
| "paths": { | |
| "/api/auth-token/": { | |
| "post": { | |
| "operationId": "auth_token_create", |
leigh-johnson
/ normalize-csv.ipynb
Created
November 1, 2020 21:19
Automatic VoTT Bounding Box suggestions with Google Cloud AutoML Vision model
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leigh-johnson
/ raw
Created
May 6, 2020 20:14
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| { | |
| "embeddings": [ | |
| { | |
| "tensorName": "My tensor", | |
| "tensorShape": [ | |
| 1000, | |
| 50 | |
| ], | |
| "tensorPath": "https://raw.githubusercontent.com/.../tensors.tsv", | |
| "metadataPath": "https://raw.githubusercontent.com/.../optional.metadata.tsv" |
leigh-johnson
/ build
Last active
March 7, 2020 17:21
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| $ sudo bazel --host_jvm_args=-Xmx512m build \ | |
| --config=opt \ | |
| --config=noaws \ | |
| --config=nohdfs \ | |
| --config=nonccl \ | |
| --config=v2 \ | |
| --local_resources=4096.0,3.0,1.0 \ | |
| --copt=-mfpu=neon-vfpv4 \ | |
| --copt=-ftree-vectorize \ | |
| --copt=-funsafe-math-optimizations \ |
leigh-johnson
/ postprocessed-tflite.sh
Last active
November 27, 2019 05:34
http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v3_small_coco_2019_08_14.tar.gz
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| #!/usr/bin/env bash | |
| TMP_DIR=${HOME}/tmp | |
| TF_MODELS_DIR=${HOME}/projects/models | |
| TF_MODELS_PY=${HOME}/projects/models/.venv/bin/python | |
| MODEL_NAME=ssd_mobilenet_v3_small_coco_2019_08_14 | |
| MODEL_URL=http://download.tensorflow.org/models/object_detection/${MODEL_NAME}.tar.gz | |
| MODEL_DIR=${TMP_DIR}/${MODEL_NAME} | |
| CONFIG_FILE=${MODEL_DIR}/pipeline.config | |
| CHECKPOINT=${MODEL_DIR}/model.ckpt |
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