fsdl-text-recognizer-2022-labs
by the-full-stack (organization)
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022 (description from the project’s GitHub page)
Repository facts
- Stars
- 533
- Forks
- 267
- Open issues and pull requests
- 1
- Primary language
- Jupyter Notebook
- License
- MIT License (MIT)
- Owner
- the-full-stack · Organization
- Created
- Jul 13, 2022
- Last push
- Jan 17, 2024
Topics
Add this badge to your README
Shows this repository’s rank in AI on GitHub and links back to this page. Ranks are by stars and change when the list is refreshed. The badge is not an endorsement or a rating. About the badges
Markdown (for a README)
[](https://unitedstatesofamericasuperintelligence.com/github/the-full-stack--fsdl-text-recognizer-2022-labs/)
HTML
<a href="https://unitedstatesofamericasuperintelligence.com/github/the-full-stack--fsdl-text-recognizer-2022-labs/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/github/the-full-stack--fsdl-text-recognizer-2022-labs.svg" alt="Ranked #9,189 in AI on GitHub" height="20"></a>
Related projects
Projects that share this one’s GitHub topics.
Rank 737: aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
10,996 starsJupyter NotebookApache-2.0Last push Oct 14, 2026
Rank 1,019: evidentlyai/evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
7,997 starsJupyter NotebookApache-2.0Last push Sep 29, 2026
Rank 1,336: higgsfield-ai/higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
6,081 starsJupyter NotebookApache-2.0Last push Oct 7, 2026
Rank 2,100: hemansnation/AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
3,769 starsJupyter NotebookNo license file detectedLast push Oct 14, 2026
Rank 2,768: whylabs/whylogs
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-pr…
2,834 starsJupyter NotebookApache-2.0Last push Jan 10, 2025
Rank 2,946: apache/hamilton
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere pyth…
2,610 starsJupyter NotebookApache-2.0Last push Oct 18, 2026