conifer VS qkeras

Compare conifer vs qkeras and see what are their differences.

conifer

Fast inference of Boosted Decision Trees in FPGAs (by thesps)
Machine Learning boosted-decision-trees Fpga low-latency
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qkeras

QKeras: a quantization deep learning library for Tensorflow Keras (by google)
Deep Learning quantization quantized-neural-networks hardware-acceleration quantized-networks Tensorflow Keras Machine Learning asic-design Fpga fpga-accelerator Accelerator
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conifer qkeras
1 3
40 522
- 1.5%
6.9 6.6
3 months ago about 1 month ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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

Posts with mentions or reviews of conifer. We have used some of these posts to build our list of alternatives and similar projects.

qkeras

Posts with mentions or reviews of qkeras. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-06.
  • How to build FPGA-based ML accelerator?
    3 projects | /r/FPGA | 6 Jul 2022
    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.
  • FPGA Neural Network
    2 projects | /r/FPGA | 3 Apr 2021
    For quantization-aware training, there's also a tool we integrate with called qkeras: https://github.com/google/qkeras/tree/master/qkeras
  • [D] How to Quantize a CNN; And how to deal with a professor...
    1 project | /r/MachineLearning | 31 Jan 2021
    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?

When comparing conifer and qkeras you can also consider the following projects:

temporal-shift-module - [ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

python-socketio - Python Socket.IO server and client

hls4ml - Machine learning on FPGAs using HLS

fusesoc - Package manager and build abstraction tool for FPGA/ASIC development

aimet - AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

conifer - Collect and revisit web pages.

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

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.

Keras - Deep Learning for humans

route-bender-4000

finn - Dataflow compiler for QNN inference on FPGAs

conifer vs temporal-shift-module qkeras vs model-optimization conifer vs python-socketio qkeras vs hls4ml conifer vs fusesoc qkeras vs aimet qkeras vs conifer qkeras vs horovod qkeras vs d2l-en qkeras vs Keras qkeras vs route-bender-4000 qkeras vs finn