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Top 16 Backpropagation Open-Source Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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notebooks
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers. (by differential-machine-learning)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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neural-network-from-scratch
A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
Project mention: Examine individual neurons of a small neural network in the browser | news.ycombinator.com | 2023-05-10 -
Sentiment
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
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Transformer-from-scratch
Educational Transformer from scratch (no autograd), with forward and backprop.
This project was my attempt at building that. It is as well-documented as I could make it, and can be trained or fine-tuned easily by editing the config.py file and running the run.py script. Anyone can get the code with:
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Project mention: Yagrad – 100 SLOC autograd engine with complex numbers and fixed DAG | news.ycombinator.com | 2024-03-17
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NeuralNetworkPlayground
A website in which you can customize, train and visualize changes in your neural networks as they learn. You can also upload your own datasets and change any parameters
Project mention: Hey guys, I just created a website that lets you see your neural network training progress over a bunch of epochs and even replay or save it! Pretty cool, right? Check it out! | /r/aipromptprogramming | 2023-05-08 -
Softmax is at the end of this source file: https://github.com/aromanro/MachineLearning/blob/master/MachineLearning/MachineLearning/ActivationFunctions.h
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NerOne
Low level C++ neural network engine. The engine provides a huge flexibility in creating neural networks. It also gives an ability for performance optimisations.
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DeepNeuralNetworksFromScratch
Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.
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Lossless
Lossless is a Machine Learning library built for Golang, capable of handling MLPs, CNNs, and more soon.
Project mention: [D] Any way to impute missing values using LSTMs ? | /r/learnmachinelearning | 2023-06-05 -
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Backpropagation related posts
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- Language models can explain neurons in language models
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A note from our sponsor - SaaSHub
www.saashub.com | 18 Apr 2024
Index
What are some of the best open-source Backpropagation projects? This list will help you:
Project | Stars | |
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1 | Genann | 1,895 |
2 | dfdx | 1,600 |
3 | go-deep | 510 |
4 | deeplearning-notes | 353 |
5 | backprop | 177 |
6 | teaching-monolith | 145 |
7 | notebooks | 132 |
8 | neural-network-from-scratch | 114 |
9 | Sentiment | 100 |
10 | Transformer-from-scratch | 28 |
11 | yagrad | 25 |
12 | NeuralNetworkPlayground | 17 |
13 | MachineLearning | 16 |
14 | NerOne | 9 |
15 | DeepNeuralNetworksFromScratch | 8 |
16 | Lossless | 4 |