The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 19 Python Training Projects
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optimum
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
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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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sagemaker-training-toolkit
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
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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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simpleT5
simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.
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only_train_once
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
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web-hacking-playground
Web application with vulnerabilities found in real cases, both in pentests and in Bug Bounty programs.
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pytorch-accelerated
A lightweight library designed to accelerate the process of training PyTorch models by providing a minimal, but extensible training loop which is flexible enough to handle the majority of use cases, and capable of utilizing different hardware options with no code changes required. Docs: https://pytorch-accelerated.readthedocs.io/en/latest/
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ModelZoo.pytorch
Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟
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dreambooth-training-action
Train your custom Stable Diffusion model using Tiyaro Dreambooth training API and Github Action
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: FastEmbed: Fast and Lightweight Embedding Generation for Text | dev.to | 2024-02-02Shout out to Huggingface's Optimum – which made it easier to quantize models.
Project mention: Now You Can Full Fine Tune / DreamBooth Stable Diffusion XL (SDXL) with only 10.3 GB VRAM via OneTrainer | dev.to | 2024-03-25Used SG161222/RealVisXL_V4.0 as a base model and OneTrainer to train on Windows 10 : https://github.com/Nerogar/OneTrainer
you can train tesseract models as described here, but you would need to create a dataset first: https://github.com/tesseract-ocr/tesstrain
Project mention: [P] Introducing PPO and Rainbow DQN to our super fast evolutionary HPO reinforcement learning framework | /r/MachineLearning | 2023-10-15
Project mention: A LLM trained to follow annotation guidelines, for information extraction tasks | news.ycombinator.com | 2023-10-30
Python Training related posts
- Now You Can Full Fine Tune / DreamBooth Stable Diffusion XL (SDXL) with only 10.3 GB VRAM via OneTrainer
- FastEmbed: Fast and Lightweight Embedding Generation for Text
- Need explanation with training
- OCR in-game text using Tesseract
- Help to improve pytesseract accuracy
- Send training plan from Garmin Connect to Zwift
- [R] When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations
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A note from our sponsor - WorkOS
workos.com | 22 Apr 2024
Index
What are some of the best open-source Training projects in Python? This list will help you:
Project | Stars | |
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1 | optimum | 2,132 |
2 | avalanche | 1,660 |
3 | OneTrainer | 1,076 |
4 | MetaSpore | 627 |
5 | tesstrain | 566 |
6 | AgileRL | 490 |
7 | sagemaker-training-toolkit | 466 |
8 | simpleT5 | 383 |
9 | only_train_once | 260 |
10 | GoLLIE | 204 |
11 | web-hacking-playground | 162 |
12 | pytorch-accelerated | 157 |
13 | zwift-workout-file-reference | 66 |
14 | ModelZoo.pytorch | 48 |
15 | simple-sam | 40 |
16 | datatap-python | 34 |
17 | kohya_ss_google_colab | 8 |
18 | dreambooth-training-action | 5 |
19 | chord_trainer | 2 |
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