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Top 23 Classification Open-Source Projects
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labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
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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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awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
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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
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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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Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
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lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
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time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
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Universal Data Tool
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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.
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.
Project mention: Aeon: A unified framework for machine learning with time series | news.ycombinator.com | 2023-06-22
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...
Project mention: time-series-transformers-review: NEW Data - star count:1424.0 | /r/algoprojects | 2023-08-12
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.
Project mention: Machine learning and deep learning library for the PHP language | news.ycombinator.com | 2023-11-04
All in One Computer Vision https://github.com/alibaba/EasyCV
Project mention: Apple Researchers Introduce ByteFormer: An AI Model That Consumes Only Bytes And Does Not Explicitly Model The Input Modality - MarkTechPost | /r/singularity | 2023-06-16https://github.com/apple/ml-cvnets/tree/main/examples/byteformer - Where the code will be located once uploaded
Classification related posts
- Getting Started with Gemma Models
- Show HN: Toolkit for LLM Fine-Tuning, Ablating and Testing
- A History of CLIP Model Training Data Advances
- AlphaPy: machine learning framework built on sklearn and pandas. Support pyfolio/xgboost/lightgmb/catboost(gradient boosting on decision tress) etc. Examples include financial market prediction/sports prediction/kaggle. Configurations are set though
- Zephyr-7B QLoRA Benchmark for Summarization and Classification
- Show HN: Finetuning LLMs: Open-source vs. Close-source
- [P][R] Finetune LLMs via the Finetuning Hub
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A note from our sponsor - WorkOS
workos.com | 19 Apr 2024
Index
What are some of the best open-source Classification projects? This list will help you:
Project | Stars | |
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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 |