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Sotirios Moschos (sotirismos)

sotirismos

Geek Repo

14

followers

73

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308

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Company:@Satori-Analytics

Location:Thessaloniki

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datascouting

Sotirios Moschos's starred repositories

bark

🔊 Text-Prompted Generative Audio Model

Language:Jupyter NotebookLicense:MITStargazers:35152Issues:0Issues:0

LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Language:PythonLicense:Apache-2.0Stargazers:19055Issues:0Issues:0

tutorials

Just Announced - "Learn Spring Security OAuth":

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sam-pt

SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.

Language:PythonLicense:Apache-2.0Stargazers:950Issues:0Issues:0

better-exceptions

Pretty and useful exceptions in Python, automatically.

Language:PythonLicense:MITStargazers:4586Issues:0Issues:0

FastSAM

Fast Segment Anything

Language:PythonLicense:AGPL-3.0Stargazers:7303Issues:0Issues:0

DragGAN

Official Code for DragGAN (SIGGRAPH 2023)

Language:PythonLicense:NOASSERTIONStargazers:35645Issues:0Issues:0

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Language:PythonLicense:Apache-2.0Stargazers:36328Issues:0Issues:0

segment-lidar

Python package for segmenting LiDAR data using Segment-Anything Model (SAM) from Meta AI.

Language:PythonLicense:BSD-3-ClauseStargazers:329Issues:0Issues:0

whisper.cpp

Port of OpenAI's Whisper model in C/C++

Language:CLicense:MITStargazers:34167Issues:0Issues:0

emoji-cheat-sheet

A markdown version emoji cheat sheet

Language:TypeScriptLicense:MITStargazers:12253Issues:0Issues:0

sam-hq

Segment Anything in High Quality [NeurIPS 2023]

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markdown-badges

Badges for your personal developer branding, profile, and projects.

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GroundingDINO

The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Language:PythonLicense:Apache-2.0Stargazers:5Issues:0Issues:0

full-stack-fastapi-template

Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.

Language:TypeScriptLicense:MITStargazers:25844Issues:0Issues:0

Badges4-README.md-Profile

:octocat: Improve your README.md profile with these amazing badges.

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Language:PythonLicense:MITStargazers:30100Issues:0Issues:0

Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

License:MITStargazers:2657Issues:0Issues:0

ImageBind

ImageBind One Embedding Space to Bind Them All

Language:PythonLicense:NOASSERTIONStargazers:8194Issues:0Issues:0

few-shot-object-detection

Implementations of few-shot object detection benchmarks

Language:PythonLicense:Apache-2.0Stargazers:1092Issues:0Issues:0

ml-interview

Preparing for machine learning interviews

Language:Jupyter NotebookStargazers:888Issues:0Issues:0

super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:4519Issues:0Issues:0

Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

Language:PythonLicense:MITStargazers:6394Issues:0Issues:0

detr

End-to-End Object Detection with Transformers

Language:PythonLicense:Apache-2.0Stargazers:13309Issues:0Issues:0

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

Language:Jupyter NotebookStargazers:5069Issues:0Issues:0

GroundingDINO

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Language:PythonLicense:Apache-2.0Stargazers:6140Issues:0Issues:0

loguru

Python logging made (stupidly) simple

Language:PythonLicense:MITStargazers:19344Issues:0Issues:0

langchain

🦜🔗 Build context-aware reasoning applications

Language:Jupyter NotebookLicense:MITStargazers:91867Issues:0Issues:0

awesome-deep-vision

A curated list of deep learning resources for computer vision

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awesome-computer-vision

A curated list of awesome computer vision resources

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