Lists (9)
Stars
From Early Internet Design Patterns to AI Agent Implementation — A Deep Dive into Claude Code for Developers
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
Rust crate with Python bindings for the HAT splitting rule
[NeurIPS 2025] MergeBench: A Benchmark for Merging Domain-Specialized LLMs
Official implementation of "OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging".
Source codes for the paper "Expert Merging: Model Merging with Unsupervised Expert Alignment and Importance-Guided Layer Chunking"
Paper2Demo: Turn any academic PDF into a stunning demo video
LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs
🦞+🔬: NanoResearch: The Autonomous AI Research Assistant
Official Codebase for "Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights"
FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion
My learning notes for ML SYS.
Official Repo for WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching
HY-WU (Part I): An Extensible Functional Neural Memory Framework and An Instantiation in Text-Guided Image Editing
Webpage: https://chuny9743.github.io/AI4WaterEnv_Webpage/
SparAlloc: A Simple and Modular Framework for Decoupled Sparsity Allocation in Layerwise Pruning for LLM
[CPAL 2026 oral] Offical implementation of "ROSE: Reordered SparseGPT for More Accurate One-Shot Large Language Models Pruning”
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.
[arXiv 2024] Is Oracle Pruning the True Oracle?
[CVPR 2026] ReasonMap: Towards Fine-Grained Visual Reasoning from Transit Maps
[TMLR 2025] Efficient Reasoning Models: A Survey
[ICLR 2026] RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning
[ICLR 2026] MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
Tools for merging pretrained large language models.