Models

Top 23 Model Open-Source Projects

  • Django

    The Web framework for perfectionists with deadlines.

    Project mention: Output a python script to a WordPress blog? | reddit.com/r/Wordpress | 2022-12-01

    If you want a full framework built in python, check out Django: https://www.djangoproject.com

  • gradio

    Create UIs for your machine learning model in Python in 3 minutes

    Project mention: AUTOMATIC1111 "There is no requirement to make this software legally usable." Reminder, the webui is not open source. | reddit.com/r/StableDiffusion | 2022-11-04

    It was in Venv/lib/site packages on October 9 in a folder titled analytics. The file actually gathered logs. By Oct 23, it was missing. Presumably replaced by: https://github.com/gradio-app/gradio/blob/main/gradio/utils.py which on its face gathers some kind of analytics. Although like I said Im not qualified to say what.

  • InfluxDB

    Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Data Platform where developers build real-time applications for analytics, IoT and cloud-native services in less time with less code.

  • segmentation_models.pytorch

    Segmentation models with pretrained backbones. PyTorch.

    Project mention: Dice Score not decreasing when doing semantic segmentation | reddit.com/r/learnmachinelearning | 2022-04-17

    When i pass the CT-Scans and the masks to the Loss Function, which is the Jaccard-Loss from the segmentation_models.pytorch library, the value does not decrease but stay in the range of 1.0-0.9 over 50 epochs training on only one batch of 32 images. As far as I have understood, my network should overfit and the loss should decrease since I am only training on one batch of a small amount of images. However this does not happen. I also tried more batches with all the data over 100 epochs, but the loss does not decrease either obviously. Does anyone have an idea what I might have done wrong? Do I have to change anything when passing the masks to my loss function?

  • CoreML-Models

    Largest list of models for Core ML (for iOS 11+)

  • models

    A collection of pre-trained, state-of-the-art models in the ONNX format (by onnx)

    Project mention: Text generation with GPT-2 in Ruby | dev.to | 2022-09-25

    Here we use the GPT-2 model distributed by the ONNX official. Download GPT-2-LM-HEAD from the link.

  • open_model_zoo

    Pre-trained Deep Learning models and demos (high quality and extremely fast)

    Project mention: computer vision with Intel integrated GPU | reddit.com/r/computervision | 2022-06-29
  • PINTO_model_zoo

    A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

    Project mention: YOLOv7 object detection in Ruby in 10 minutes | dev.to | 2022-07-26

    Download the ONNX model from this project: 307_YOLOv7

  • Scout APM

    Truly a developer’s best friend. Scout APM is great for developers who want to find and fix performance issues in their applications. With Scout, we'll take care of the bugs so you can focus on building great things 🚀.

  • laravel-model-caching

    Eloquent model-caching made easy.

    Project mention: How is this website so fast? | reddit.com/r/webdev | 2022-08-16

    I also use this super handy package which puts Redis in between your models so rather than writing right to the DB the app interacts with Redis which then writes to the DB when it can thus saving so much load time: https://github.com/GeneaLabs/laravel-model-caching

  • typegoose

    Typegoose - Define Mongoose models using TypeScript classes.

    Project mention: Is it possible to generate Mongoose schemas? | reddit.com/r/Nestjs_framework | 2022-02-20
  • awesome-streamlit

    The purpose of this project is to share knowledge on how awesome Streamlit is and can be

    Project mention: How to create a dashboard in Python with Jupyter Notebook | news.ycombinator.com | 2022-06-14
  • mlreef

    The collaboration workspace for Machine Learning

  • spacy-models

    💫 Models for the spaCy Natural Language Processing (NLP) library

    Project mention: spacy Can't find model 'en_core_web_sm' on windows 10 and Python 3.5.3 :: Anaconda custom (64-bit) | reddit.com/r/codehunter | 2022-05-02

    (C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>conda install -c conda-forge spacyFetching package metadata .............Solving package specifications: .Package plan for installation in environment C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder:The following NEW packages will be INSTALLED: blas: 1.0-mkl cymem: 1.31.2-py35h6538335_0 conda-forge dill: 0.2.8.2-py35_0 conda-forge msgpack-numpy: 0.4.4.2-py_0 conda-forge murmurhash: 0.28.0-py35h6538335_1000 conda-forge plac: 0.9.6-py_1 conda-forge preshed: 1.0.0-py35h6538335_0 conda-forge pyreadline: 2.1-py35_1000 conda-forge regex: 2017.11.09-py35_0 conda-forge spacy: 2.0.12-py35h830ac7b_0 conda-forge termcolor: 1.1.0-py_2 conda-forge thinc: 6.10.3-py35h830ac7b_2 conda-forge tqdm: 4.29.1-py_0 conda-forge ujson: 1.35-py35hfa6e2cd_1001 conda-forgeThe following packages will be UPDATED: msgpack-python: 0.4.8-py35_0 --> 0.5.6-py35he980bc4_3 conda-forgeThe following packages will be DOWNGRADED: freetype: 2.7-vc14_2 conda-forge --> 2.5.5-vc14_2Proceed ([y]/n)? yblas-1.0-mkl.t 100% |###############################| Time: 0:00:00 0.00 B/scymem-1.31.2-p 100% |###############################| Time: 0:00:00 1.65 MB/smsgpack-python 100% |###############################| Time: 0:00:00 5.37 MB/smurmurhash-0.2 100% |###############################| Time: 0:00:00 1.49 MB/splac-0.9.6-py_ 100% |###############################| Time: 0:00:00 0.00 B/spyreadline-2.1 100% |###############################| Time: 0:00:00 4.62 MB/sregex-2017.11. 100% |###############################| Time: 0:00:00 3.31 MB/stermcolor-1.1. 100% |###############################| Time: 0:00:00 187.81 kB/stqdm-4.29.1-py 100% |###############################| Time: 0:00:00 2.51 MB/sujson-1.35-py3 100% |###############################| Time: 0:00:00 1.66 MB/sdill-0.2.8.2-p 100% |###############################| Time: 0:00:00 4.34 MB/smsgpack-numpy- 100% |###############################| Time: 0:00:00 0.00 B/spreshed-1.0.0- 100% |###############################| Time: 0:00:00 0.00 B/sthinc-6.10.3-p 100% |###############################| Time: 0:00:00 5.49 MB/sspacy-2.0.12-p 100% |###############################| Time: 0:00:10 7.42 MB/s(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>python -VPython 3.5.3 :: Anaconda custom (64-bit)(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>python -m spacy download enCollecting en_core_web_sm==2.0.0 from https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz#egg=en\_core\_web\_sm==2.0.0 Downloading https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.0.0/en_core_web_sm-2.0.0.tar.gz (37.4MB) 100% |################################| 37.4MB ...Installing collected packages: en-core-web-sm Running setup.py install for en-core-web-sm ... doneSuccessfully installed en-core-web-sm-2.0.0 Linking successful C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder\lib\site-packages\en_core_web_sm --> C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder\lib\site-packages\spacy\data\en You can now load the model via spacy.load('en')(C:\Users\nikhizzz\AppData\Local\conda\conda\envs\tensorflowspyder) C:\Users\nikhizzz>

  • ActiveAttr

    What ActiveModel left out

  • laravel-view-models

    View models in Laravel

  • easystats

    :milky_way: The R easystats-project

    Project mention: My recommended R packages / functions for behavioral researchers who deal with 2X2 experiments | reddit.com/r/rstats | 2022-05-03

    I'd also recommend the whole easystats suite of packages. They make model post-processing much easier. It includes a more intuitive (but more limited, imo) replacement for emmeans: modelbased.

  • tensor-house

    A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

    Project mention: Supply Chain Uses Cases | reddit.com/r/Python | 2022-11-16

    I still have this on my reading list, it has quite some interesting SC applications. https://github.com/ikatsov/tensor-house

  • huggingface_hub

    All the open source things related to the Hugging Face Hub.

    Project mention: Fox Fairy @ Diffusion Forest: Unreal Engine + Stable Diffusion | reddit.com/r/sdforall | 2022-11-01

    i think if you search for pixel art here there are some models worth checking out: https://huggingface.co/

  • report

    :scroll: :tada: Automated reporting of objects in R

    Project mention: easystats/report: Automated reporting of objects in R for rmarkdown use {R} | reddit.com/r/Sciatro | 2022-06-05
  • bigscience

    Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

    Project mention: [N] Live and open training of BigScience's 176B multilingual language model has just started | reddit.com/r/MachineLearning | 2022-03-16

    Details on the distributed setup used for the training: https://github.com/bigscience-workshop/bigscience/tree/master/train/tr11-176B-ml

  • Plank

    A tool for generating immutable model objects

  • django-colorfield

    :art: color field for django models with a nice color-picker in the admin.

    Project mention: How we found and helped fix 24 bugs in 24 hours (in Tensorflow, Sentry, V8, PyTorch, Hue, and more) | dev.to | 2022-01-05

    django-colorfield

  • SegmentationCpp

    A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

  • sourced

    Tiny framework for building models with the event sourcing pattern (events and snapshots).

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

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 2022-12-01.

Models related posts

Index

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

Project Stars
1 Django 67,531
2 gradio 10,913
3 segmentation_models.pytorch 6,453
4 CoreML-Models 5,506
5 models 5,317
6 open_model_zoo 3,409
7 PINTO_model_zoo 2,303
8 laravel-model-caching 2,025
9 typegoose 1,874
10 awesome-streamlit 1,426
11 mlreef 1,409
12 spacy-models 1,209
13 ActiveAttr 1,183
14 laravel-view-models 913
15 easystats 836
16 tensor-house 834
17 huggingface_hub 594
18 report 573
19 bigscience 466
20 Plank 463
21 django-colorfield 431
22 SegmentationCpp 304
23 sourced 284
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