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So you want to do a PhD?

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Caesium is an image compression software that helps you store, send and share digital pictures, supporting JPG, PNG, WebP and TIFF formats. You can quickly reduce the file size (and resolution, if …

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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

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#1 Locally hosted web application that allows you to perform various operations on PDF files

Java 61,613 5,184 Updated Jun 13, 2025

High-performance on-the-fly thumbnailer script for mpv

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Feature-rich minimalist proximity-based UI for MPV player.

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Implementation for runs wasm workloads in Wasmedge

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Generate a roam research like network graph view from your Notion pages.

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Knowledge graph for Notion, like obsidian.md or Roam research / https://graphcentral.github.io/graph

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Fork of GitHub Desktop to support various Linux distributions

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Papers from the computer science community to read and discuss.

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Collections of CS PhD Application Fee Waivers of schools in North America

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My github.io page source

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How did we prepare for our TOEFL exams? - Mashiat, Sadia and Rabid

52 3 Updated Oct 31, 2023

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …

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Shadow archive of R*RBG, written in Go

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Not Quite RARBG's main website.

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Most comprehensive list 📋 of tech interview questions 📘 of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.

Java 7,527 2,227 Updated Aug 26, 2022

Image augmentation for machine learning experiments.

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"Every Author as First Author" paper from SIGTBD 2023, about superimposing author names in a stack

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Curated list of data science interview questions and answers

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Bangla NLP toolkit. Bangla NER, POStag, Stemmer, Word embedding, sentence embedding, summarization, preprocessor, sentiment analysis, etc.

Python 26 12 Updated Feb 12, 2024

Explanation to key concepts in ML

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A novel machine learning pipeline to analyse spatial transcriptomics data

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A playbook for systematically maximizing the performance of deep learning models.

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