Kevinzz

@KevinZeng08 · User

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Master student at Zhejiang University, interested in data management, machine learning system

Zhejiang UniversityChina Mainland111 followers70 repositories

Repositories

KevinZeng08/cuLA

CUDA kernels for linear attention variants, written in CuTe DSL and CUTLASS C++.

★ 0PythonForks 0

KevinZeng08/MagiAttention

A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training

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KevinZeng08/DeepEP

DeepEP: an efficient expert-parallel communication library

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KevinZeng08/slime

slime is an LLM post-training framework for RL Scaling.

★ 0PythonForks 0

KevinZeng08/nccl

Optimized primitives for collective multi-GPU communication

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KevinZeng08/vllm-omni

A framework for efficient model inference with omni-modality models

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KevinZeng08/nvshmem

NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process communication and coordination overheads by allowing programmers to perform one-sided communication from within CUDA kernels and on CUDA streams.

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KevinZeng08/DeepGEMM

DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

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KevinZeng08/cutlass

CUDA Templates and Python DSLs for High-Performance Linear Algebra

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KevinZeng08/verl

verl: Volcano Engine Reinforcement Learning for LLMs

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KevinZeng08/AReaL

Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible.

★ 0PythonForks 0

KevinZeng08/slime-agentic

A project implementing various agentic RL based on the Slime post-training framework

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KevinZeng08/ROLL

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

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KevinZeng08/LightRFT

LightRFT (Light Reinforcement Fine-Tuning) is an advanced reinforcement learning fine-tuning framework designed for Large Language Models (LLMs) and Vision-Language Models (VLMs).

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KevinZeng08/tilelang

Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels

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KevinZeng08/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

★ 0PythonForks 0