conifer
qkeras
conifer | qkeras | |
---|---|---|
5 | 3 | |
1,458 | 523 | |
-0.3% | 1.3% | |
0.0 | 6.2 | |
6 months ago | 13 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
conifer
- YaCy, a distributed Web Search Engine, based on a peer-to-peer network
- I have no idea how Github works. I need to download a Conifer archiving tool. Can someone explain how to do? https://github.com/Rhizome-Conifer/conifer
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[HELP] I´m looking for some self-hosted solution where users can connect to the website, connect to a page, browse it and save it.
I saw Rhizome-conifer(https://github.com/Rhizome-Conifer/conifer). It look great but there is a lot of open issues on github, some from 2016, and i´m afraid if it will not keep up (it would be very sad).
- Looking for a tool that generates reader mode of articles
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Ask HN: What browser extensions are a must-have for HNers in 2021?
I would personally recommend
https://github.com/rhizome-conifer/conifer
The intent is a webrecorder for the internet.
It records all js libraries, loads videos, and all else.
Once stored, you can review a snapshot at that point in time.
They have a service option, webrecorder.io, but this one let's you store directly locally.
qkeras
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How to build FPGA-based ML accelerator?
I would check out hls4ml. It's an open source project made by/for people at CERN to convert neural networks created in Python using QKeras (a quantization extension of Keras) into HLS, with Vivado HLS being the most well supported. There are some caveats though, and a fellow student and I have had trouble getting the generated HLS to match the Keras model and be feasible to synthesize, but it seems to work well for smaller neural networks.
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FPGA Neural Network
For quantization-aware training, there's also a tool we integrate with called qkeras: https://github.com/google/qkeras/tree/master/qkeras
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[D] How to Quantize a CNN; And how to deal with a professor...
Brevitas appears to be what you're looking for. I haven't used that but developed something similar myself for a previous project. You could take a look at https://github.com/google/qkeras too
What are some alternatives?
pywb - Core Python Web Archiving Toolkit for replay and recording of web archives
model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Wallabag - wallabag is a self hostable application for saving web pages: Save and classify articles. Read them later. Freely.
hls4ml - Machine learning on FPGAs using HLS
Reddit-Enhancement-Suite - Reddit Enhancement Suite
aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
SingleFile - Web Extension for saving a faithful copy of a complete web page in a single HTML file
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
ArchiveBox - 🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
temporal-shift-module - [ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
Keras - Deep Learning for humans