Starred repositories
A resource repository for representation engineering in large language models
A curated list of awesome works in Routing LLMs paradigm (👉 Welcome to submit your contributions to this code repository)
A Reproduction of GDM's Nested Learning Paper
Unofficial implementation of Titans, SOTA memory for transformers, in Pytorch
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2509.03505
Implementation of IncrementalDBSCAN clustering.
A repository and benchmark for online test-time adaptation.
📰 Must-read papers on KV Cache Compression (constantly updating 🤗).
A collection of papers on discrete diffusion models
An offline deep reinforcement learning library
[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut …
Platform for designing and evaluating Graph Neural Networks (GNN)
[TMLR 2024] Efficient Large Language Models: A Survey
Awesome coreset/core-set/subset/sample selection works.
Awesome-LLM: a curated list of Large Language Model
Paper Lists for Graph Neural Networks
A Benchmark of Text Classification in PyTorch
scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge
codes for SORL framework for auto-bidding
Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
A playbook for systematically maximizing the performance of deep learning models.
A comprehensive list of PAPERS, CODEBASES, and, DATASETS on Decision Making using Foundation Models including LLMs and VLMs.