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The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
An extremely fast Python linter and code formatter, written in Rust.
The agent that grows with you
A curated list for Self-Improvement in Foundation Model Based Agentic Systems.
Skills for the Gemma and model/agent interactions
A unified, comprehensive and efficient recommendation library
LibRec: A Leading Java Library for Recommender Systems, see
DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mamb…
PluRel: A synthetic tabular and relational data generation framework
The Relational Transformer architecture for Relational Foundation Models
TabICLv2: A state-of-the-art tabular foundation model
Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)
⚡ TabPFN: Foundation Model for Tabular Data ⚡
(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
Code for the "Benchmarking Optimizers for MLPs in Tabular Deep Learning" paper
Research on Tabular Deep Learning: Papers & Packages
《Reinforcement Learning from Human Feedback》繁體中文全譯本＋每章互動實驗 | Unofficial zh-TW community translation of the RLHF Book with interactive labs
TabFM (Tabular Foundation Model) is a pretrained tabular foundation model developed by Google Research for tabular data regression and classification.
Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
PyTorch code and models for VJEPA2 self-supervised learning from video.
A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings
[ACM CSUR 2025] Understanding World or Predicting Future? A Comprehensive Survey of World Models
Inference Engine for SiliconMind-V1 Verilog Coding Models
Building LLM-Enabled Multi Agent Applications from Scratch