Classification

Open-source projects categorized as Classification

Top 23 Classification Open-Source Projects

  • supervision

    We write your reusable computer vision tools. 💜

  • Project mention: Supervision: Reusable Computer Vision | news.ycombinator.com | 2024-03-24

    You can always slice the images into smaller ones, run detection on each tile, and combine results. Supervision has a utility for this - https://supervision.roboflow.com/latest/detection/tools/infe..., but it only works with detections. You can get a much more accurate result this way. Here is some side-by-side comparison: https://github.com/roboflow/supervision/releases/tag/0.14.0.

  • labelme

    Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

  • 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.

    InfluxDB logo
  • pycaret

    An open-source, low-code machine learning library in Python

  • awesome-project-ideas

    Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

  • Smile

    Statistical Machine Intelligence & Learning Engine

  • Project mention: The Current State of Clojure's Machine Learning Ecosystem | news.ycombinator.com | 2024-04-07

    > I don't think it's right to recommend that new users move away from the package because of licensing issues

    I was going to chime in to agree but then I saw how this was done - a completely innocuous looking commit:

    https://github.com/haifengl/smile/commit/6f22097b233a3436519...

    And literally no mention in the release notes:

    https://github.com/haifengl/smile/releases/tag/v3.0.0

    I think if you are going to change license especially in a way that makes it less permissive you need to be super open and clear about both the fact you are doing it and your reasons for that. This is done so silently as to look like it is intentionally trying to mislead and trick people.

    So maybe I wouldn't say to move away because of the specific license, but it's legitimate to avoid something when it's so clearly driven by a single entity and that entity acts in a way that isn't trustworthy.

  • tsai

    Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  • Project mention: Aeon: A unified framework for machine learning with time series | news.ycombinator.com | 2023-06-22

    Also https://github.com/timeseriesAI/tsai

  • orange

    🍊 :bar_chart: :bulb: Orange: Interactive data analysis

  • Project mention: Orange Data Mining | news.ycombinator.com | 2024-04-15
  • 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.

    WorkOS logo
  • pointnet

    PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

  • torch2trt

    An easy to use PyTorch to TensorRT converter

  • text-classification-cnn-rnn

    CNN-RNN中文文本分类,基于TensorFlow

  • franc

    Natural language detection

  • FLAML

    A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

  • Project mention: AutoGen: Enabling Next-Gen GPT-X Applications | news.ycombinator.com | 2023-08-22

    I really like the simplicity of this framework, and they hit on a lot of common problems found in other agent-based frameworks. Most intrigued by the RAG improvements.

    Seems like Microsoft was frustrated with the pace of movement in this space and the shitty results of agents (which admittedly kept my interest turned away from agents for the last few months). I'm interested again because it makes practical sense, and from looking at the example notebooks, seems fairly easy to integrate into existing applications.

    Maybe this is the 'low code' approach that might actually work, and bridge together engineering and non-engineering resources.

    This example was what caught my eye: https://github.com/microsoft/FLAML/blob/main/notebook/autoge...

  • Pointnet_Pointnet2_pytorch

    PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

  • pointnet2

    PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

  • lazypredict

    Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

  • InvoiceNet

    Deep neural network to extract intelligent information from invoice documents.

  • time-series-transformers-review

    A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

  • Project mention: time-series-transformers-review: NEW Data - star count:1424.0 | /r/algoprojects | 2023-08-12
  • efficientnet

    Implementation of EfficientNet model. Keras and TensorFlow Keras.

  • Project mention: Getting Started with Gemma Models | dev.to | 2024-04-15

    Examples of lightweight models include MobileNet, a computer vision model designed for mobile and embedded vision applications, EfficientDet, an object detection model, and EfficientNet, a CNN that uses compound scaling to enable better performance. All these are lightweight models from Google.

  • RubixML

    A high-level machine learning and deep learning library for the PHP language.

  • Project mention: Machine learning and deep learning library for the PHP language | news.ycombinator.com | 2023-11-04
  • Universal Data Tool

    Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

  • MLJ.jl

    A Julia machine learning framework

  • EasyCV

    An all-in-one toolkit for computer vision

  • Project mention: FLaNK Stack Weekly for 20 June 2023 | dev.to | 2023-06-20

    All in One Computer Vision https://github.com/alibaba/EasyCV

  • ml-cvnets

    CVNets: A library for training computer vision networks

  • Project mention: Apple Researchers Introduce ByteFormer: An AI Model That Consumes Only Bytes And Does Not Explicitly Model The Input Modality - MarkTechPost | /r/singularity | 2023-06-16

    https://github.com/apple/ml-cvnets/tree/main/examples/byteformer - Where the code will be located once uploaded

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

    SaaSHub logo
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2024-04-15.

Classification related posts

Index

What are some of the best open-source Classification projects? This list will help you:

Project Stars
1 supervision 13,921
2 labelme 12,257
3 pycaret 8,385
4 awesome-project-ideas 7,404
5 Smile 5,921
6 tsai 4,659
7 orange 4,594
8 pointnet 4,556
9 torch2trt 4,376
10 text-classification-cnn-rnn 4,066
11 franc 4,021
12 FLAML 3,663
13 Pointnet_Pointnet2_pytorch 3,170
14 pointnet2 2,875
15 lazypredict 2,661
16 InvoiceNet 2,378
17 time-series-transformers-review 2,068
18 efficientnet 2,057
19 RubixML 1,972
20 Universal Data Tool 1,871
21 MLJ.jl 1,717
22 EasyCV 1,671
23 ml-cvnets 1,666
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com