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Nano vLLM
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Maple Mono: Open source monospace font with round corner, ligatures and Nerd-Font for IDE and terminal, fine-grained customization options. 带连字和控制台图标的圆角等宽字体，中英文宽度完美2:1，细粒度的自定义选项
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Retrying library for Python
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This repository serves as a comprehensive survey of LLM development, featuring numerous research papers along with their corresponding code links.
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Universal battlefield-adaptive Operator Evaluation Protocol for Arknights / 泛用型环境自适应干员强度评价体系 for 明日方舟
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[DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"
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Processed / Cleaned Data for Paper Copilot
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PDF2zh for Zotero | Zotero PDF中文翻译插件
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PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/MCP/Docker/Zotero
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A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.
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[ICML 2025 Spotlight] ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
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H2-LLM: Hardware-Dataflow Co-Exploration for Heterogeneous Hybrid-Bonding-based Low-Batch LLM Inference
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Open deep learning compiler stack for Kendryte AI accelerators ✨
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MAGI-1: Autoregressive Video Generation at Scale
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A Distributed Attention Towards Linear Scalability for Ultra-Long Context, Heterogeneous Data Training
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This is an experimental library that has evolved to P2688
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match(it): A lightweight single-header pattern-matching library for C++17 with macro-free APIs.
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Python interface for MLIR - the Multi-Level Intermediate Representation
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Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
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Distributed Compiler Based on Triton for Parallel Systems
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Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
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SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs
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Simple, Elegant, Typed Argument Parsing with argparse
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XAttention: Block Sparse Attention with Antidiagonal Scoring
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DeeperGEMM: crazy optimized version
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High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.