Top 23 Classification Open-Source Projects
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).Project mention: Mask RCNN Implementation for Image Segmentation | Tutorial | dev.to | 2021-04-09
LabelMe is open-source tool for polygen image annotations inspired by MIT Label Me
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project IdeasProject mention: Procedurally generated rocks in my software "Proc-rock" | reddit.com/r/proceduralgeneration | 2021-03-10
My best recommendation I could give you is to simply create things. Start small, for example create a small program in the field you're interested in and then go from there. You can check this for ideas on what to create. There's a lot of resources in there.
Scout APM - Leading-edge performance monitoring starting at $39/month. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
Statistical Machine Intelligence & Learning EngineProject mention: Kotlin with Randon Forest Classifier | reddit.com/r/Kotlin | 2021-04-19
I've heard good things about Smile, probably beats libs like Weka by far. I'm not sure if you can load a scikit-learn model though, so you might need to retrain the model in Kotlin.
Natural language detection
🍊 :bar_chart: :bulb: Orange: Interactive data analysisProject mention: No-code vs Visual Programming | reddit.com/r/nocode | 2021-03-12
I am using visual programming tools that overlap with the no-code concept such as: KNIME and Orange. To visualize the results, I use connectors with platforms like DataStudio or Google AppSheet.
An easy to use PyTorch to TensorRT converter
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric SpaceProject mention: Are the New M1 Macbooks Any Good for Deep Learning? Let’s Find Out | news.ycombinator.com | 2021-02-15
Implementation of EfficientNet model. Keras and TensorFlow Keras.Project mention: I made an image recognition model written in NodeJs | reddit.com/r/webdev | 2021-02-24
EfficientNet a lightweight convolutional neural network architecture achieving the state-of-the-art accuracy with an order of magnitude fewer parameters and FLOPS, on both ImageNet and five other commonly used transfer learning datasets.
Deep neural network to extract intelligent information from invoice documents.Project mention: Extract informations from invoices with machine learning | reddit.com/r/deeplearning | 2021-04-07
Also, I would suggest you to use this codebase: https://github.com/naiveHobo/InvoiceNet
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
A high-level machine learning and deep learning library for the PHP language.Project mention: PHP 8 for AI and ML | reddit.com/r/PHP | 2020-12-21
PHP 8 is fairly new. In the future it may be used more because of this. Now the only actively maintained project that I know is https://github.com/RubixML/RubixML
Multi-class confusion matrix library in PythonProject mention: PyCM 2.6 released : Multi-class confusion matrix library in Python | reddit.com/r/computervision | 2021-03-25
A Julia machine learning frameworkProject mention: sklearn equivalent for Julia? | reddit.com/r/Julia | 2021-04-14
Imho, Julia is more diverse in the sense that there is not a single popular ML library. Maybe the Julian equivalent for scikit-learn is MLJ.jl. There is also ScikitLearn.jl, which defines the usual interface of scikit-learn models, and specific algorithms then implement this interface.
Weaviate is a cloud-native, modular, real-time vector search engineProject mention: Introducing Weaviate, a fast modular vector search engine with out of the box support for state-of-the-art ML models written in Go | reddit.com/r/golang | 2021-04-12
Tribuo - A Java machine learning libraryProject mention: Vector API (JEP 338) Benchmark Results for Matrix Multiplication, Image Convolution, and Image Thresholding. | reddit.com/r/java | 2021-03-22
That sounds good. The Panama team welcome feedback. I've been using it on and off for about 4 years while it's been in development to accelerate some ML workloads (full disclosure, I work in the machine learning group in Oracle's research labs), and it's improved greatly in that time. I plan to circle back now Java 16 is out and test out vectorising Tribuo's math ops.
a standard filetree for /r/datacurator [ and r/datahoarder ]Project mention: What the hell am I doing? | reddit.com/r/DataHoarder | 2021-03-25
And just in case OP doesn't see it as soon as he opens it: r/datacurator/wiki/index and datacurator-filetree (an empty github filetree that shows a basic and simple, but very efficient imo, method of sorting your files, not of naming them, but of sorting them)
Artificial Neural Network
A package that makes it trivial to create and evaluate machine learning pipeline architectures.Project mention: MlJ.jl: A Julia Machine Learning Framework | news.ycombinator.com | 2021-04-11
Scala Library/REPL for Machine Learning Research
HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.Project mention: Here's a festive game brought to you by HMS Core | reddit.com/r/HMSCore | 2020-12-26
Get the code from GitHub:https://github.com/HMS-Core/hms-ml-demo/tree/master/ApplicationCases/CrazyChristmas
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.Project mention: #100DaysofMLCode Challenge | dev.to | 2020-09-25
NishkarshRaj / 100DaysofMLCode
PyTorch Implementation of CvT: Introducing Convolutions to Vision TransformersProject mention: CvT: Introducing Convolutions to Vision Transformers | reddit.com/r/computervision | 2021-03-30
Ruby Scoring API for PMML
What are some of the best open-source Classification projects? This list will help you:
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