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ubeydemavus's Projects

ailia-models icon ailia-models

The collection of pre-trained, state-of-the-art AI models for ailia SDK

bayesian-statistics icon bayesian-statistics

This repository holds slides and code for a full Bayesian statistics graduate course.

craft-pytorch icon craft-pytorch

Official implementation of Character Region Awareness for Text Detection (CRAFT)

data-science icon data-science

Collection of useful data science topics along with articles, videos, and code

fastmot icon fastmot

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

ghost icon ghost

A new one shot face swap approach for image and video domains

kmodes icon kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

mapie icon mapie

A scikit-learn-compatible module for estimating prediction intervals.

mm-cot icon mm-cot

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

nannyml icon nannyml

nannyml: post-deployment data science in python

ncps icon ncps

PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models

pgvector icon pgvector

Open-source vector similarity search for Postgres

ppo-for-beginners icon ppo-for-beginners

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

rembg icon rembg

Rembg is a tool to remove images background.

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

simswap icon simswap

An arbitrary face-swapping framework on images and videos with one single trained model!

stgat_traffic_prediction icon stgat_traffic_prediction

This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph Attention Networks:A Deep Learning Approach for Traffic Forecasting" https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8903252

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