Pegah Alipoormolabashi (Palipoor)

Palipoor

Geek Repo

Location:Stony Brook, NY

Twitter:@pegah_al

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Pegah Alipoormolabashi's starred repositories

ALISON

[AAAI'24] ALISON: Fast and Effective Stylometric Authorship Obfuscation

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xv6-scheduling

Tweaked the xv6 Operating System to add several new scheduling algorithms, namely first-cum-first-serve, priority-based and multi-level-feedback-queue, along with a couple of system calls

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ostep-projects

Projects for an undergraduate OS course

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hackbench-on-xv6

Xv6 is a pretty good material for OS learners, but one thing I am concerned is that how I benchmark xv6 after I developed or changed it. For example, xv6 has really simple scheduling algorithm that we easily understand, so that it may be a good idea to develop scheduling algorithm to improve xv6 performance. However, one problem I met was how should I benchmark it? Therefore, I have modified 'hackbench.c', one of the simple benchmarking program, and now it can run on xv6. So, if you need to benchmark your implementations like me, you can download and measure your system on xv6.

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xv6-threads

kernel threads in xv6

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xv6-kernel-threads

Design and Implementation of kernel level threads for xv6 operating system. Adding system call related to threading environment in xv6 along with userland threading library with one to one mapping and semaphore implementation as synchronisation primitive

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XV6-Syscalls-IPC

Introducing new system calls and inter-process-communication in xv6

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xv6-schedulers

Implementation of Lottery and Stride scheduling on the xv6 OS

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xv6-gui

xv6 OS

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xv6-net

xv6 OS with TCP/IP Network Stack

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obsidian-iconize

Simply add icons to anything you want in Obsidian.

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DataDreamer

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

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instructor-embedding

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

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awesome-oss-llm-ift-rlhf

Collection of open source implementations of LLMs with IFT and RLHF that are striving to get to ChatGPT level of performance

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paraphraser

Sentence paraphrase generation at the sentence level

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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