Pytorch Tabular
pytorch-tabular
A unified framework for Deep Learning Models on tabular data
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
113–128 / 130
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 130
pytorch-tabular
A unified framework for Deep Learning Models on tabular data
jindongwang
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
labmlai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
davisking
A toolkit for making real world machine learning and data analysis applications in C++
roboflow
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge model…
NirDiamant
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps so…
Xtremilicious
A curated list of project tutorials for project-based learning.
opengeos
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
openvenues
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
MorvanZhou
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
vahidk
TensorFlow tutorials and best practices.
pytorch
Data manipulation and transformation for audio signal processing, powered by PyTorch
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
dynamicslab
A package for the sparse identification of nonlinear dynamical systems from data