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Divison of Energy Systems, KTH
- Stockholm
- https://kth.se/profile/sinash/
- in/sinasheikholeslami
- https://ssheikholeslami.github.io
- https://scholar.google.com/citations?user=6CuTqOoAAAAJ&hl=en
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Implementation of REA Prompting for Generative Relation Extraction with LLMs
A semantic search system for Airbnb listings in Stockholm, built with Superlinked and Qdrant. It leverages multi-attribute vector search and Retrieval-Augmented Generation (RAG) to enhance search a…
Re-implementation of the paper "Chain-of-Verification Reduces Hallucination in Large Language Models" for hallucination reduction. Developed as a final project of the Advanced Deep Learning course …
🧠 Automated neural network ablation studies using LLM agents and LangGraph. Systematically remove components, test performance, and gain insights into architecture importance through an intelligent…
🔍 AI-Powered Document Intelligence System | Retrieval-Augmented Generation (RAG) Advanced document processing platform that combines semantic embedding, intelligent retrieval, and generative AI to …
FlowMage is a system that optimizes the deployment of a stateful network function chain by modifying the configuration files. The current version is customized for FastClick.
Memory consumption and FLOP count estimates for convnets
A collection of learning resources for curious software engineers
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Set of boilerplate scripts describing the normalized script pattern that GitHub uses in its projects.
Solve puzzles. Improve your pytorch.
Use specific keywords to chat with Bing AI more effectively.
📚 Personal collection of ChatGPT prompts for developers!
OmniPaxos is a distributed log implemented as a Rust library.
A Chrome extension to highlight text and keep it all saved
Image data coverage identification using crowdsourcing
[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
PyTorch extensions for high performance and large scale training.
[CVPR 2023 - L3D-IVU] PyTorch implementation of "Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection"
Text and supporting code for Think Stats, 2nd Edition
Repository for the Deep Wetlands project in which we detect changes in water extension of wetlands my using multispectral and SAR images
Reading list for the Advanced Machine Learning Course
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
A playbook for systematically maximizing the performance of deep learning models.