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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
100-Days-Of-ML-Code中文版
Best Practices on Recommendation Systems
Generate audiobooks from e-books, 50+ TTS engines with voice cloning and 1696 languages!
Air-gapped, privacy-focused, open-source NotebookLM alternative. AI agent that researches, transforms, and edits your documents. Join our Discord: https://discord.gg/ejRNvftDp9
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Deep Learning Tutorial notes and code. See the wiki for more info.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Elyra extends JupyterLab with an AI centric approach.
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
Deep and Machine Learning for Microscopy
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
Python3 script that transfers files in Google Colab 10-50x faster, using multi-threaded parallel copying between Google Drive locations.
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.