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Beihang University
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All Algorithms implemented in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A high-throughput and memory-efficient inference and serving engine for LLMs
Universal LLM Deployment Engine with ML Compilation
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Clean, minimal, accessible reproduction of DeepSeek R1-Zero
Awesome autocompletion, static analysis and refactoring library for python
[ICML'24] Magicoder: Empowering Code Generation with OSS-Instruct
Exocompilation for productive programming of hardware accelerators
Flask documents translated by Dormouse Young
🌌️Fuzz4All: Universal Fuzzing with Large Language Models
CRUXEval: Code Reasoning, Understanding, and Execution Evaluation
NVIDIA Resiliency Extension is a python package for framework developers and users to implement fault-tolerant features. It improves the effective training time by minimizing the downtime due to fa…
This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.
WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models (OOPSLA 2024)
A benchmark suited especially for deep learning operators
Official code for "Interaction Modeling with Multiplex Attention" (NeurIPS 2022)