Annotated Deep Learning Paper Implementations
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
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17–32 / 45
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Results: 45
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
amark
An open source cybersecurity protocol for syncing decentralized graph data.
meta-llama
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to e…
dair-ai
🔥Highlighting the top ML papers every week.
eugeneyan
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
alteryx
An open source python library for automated feature engineering
pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
xorbitsai
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all throug…
dotnet
ML.NET is an open source and cross-platform machine learning framework for .NET.
datawhalechina
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
doccano
Open source annotation tool for machine learning practitioners.
aimhubio
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
LibrePhotos
A self-hosted open source photo management service.
h2oai
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeli…