Physicsnemo
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
OPENAGENTSKILL / DIRECTORY
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Results: 45
NVIDIA
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
feature-engine
Feature engineering and selection open-source Python library compatible with sklearn.
ahmedfgad
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
4paradigm
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
tensorflow
An open-source Python framework for hybrid quantum-classical machine learning.
fangwei123456
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
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.
yzhao062
Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!
limix-ldm-ai
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2509.03505
MaximeVandegar
Implementation of papers in 100 lines of code.