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Welcome to the NLP Interview Preparation repository! Discover a curated set of interview questions and answers for Data Scientists. Elevate your understanding of Natural Language Processing, naviga…
Final-year resources for Web3, Data Science, NLP, Embedded Systems, Image Processing, & Full-Stack Dev.
200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
Preparing for machine learning interviews
Machine Learning interview prep guide
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Most comprehensive list 📋 of tech interview questions 📘 of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
We are taking several history books about Bangladesh and building a RAG system. The goal is to make people know any specific event of history within seconds.
Awesome-LLM: a curated list of Large Language Model
A framework for few-shot evaluation of language models.
Fine tuned llama 3 models for context based question answering in bengali language.
Library for Digital Pathology Image Processing
Adala: Autonomous DAta (Labeling) Agent framework
The implementation of the technical report: "Customized Segment Anything Model for Medical Image Segmentation"
🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.
Build U-Nets for segmentation from pre-trained TorchVision models.
A complete alternative for Overleaf with VSCode + Web + Git Integration + Copilot + Grammar & Spell Checker + Live Collaboration Support. Based on GitHub Codespace and Dev container.
A naive implementation of simple linear chain Conditional Random Fields using NumPy
Implementation of the SLIC superpixel algorithm to work with OpenCV
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Official Implementation of the Paper "Capsules for Object Segmentation".
Awesome Active Learning Paper List
EPFL Course - Optimization for Machine Learning - CS-439
A python library for self-supervised learning on images.