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- linkedin
- quiz-questions
- answers
- assessment
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Evaluate OMR sheets fast and accurately using a scanner 🖨 or your phone 🤳.
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
- tabular-data
- gans
- train-dataframe
- adversarial-filtering
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
- tensorlayer
- dagger
- gym-torcs
- imitation-learning
This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
An example of using Gemini CLI with MCP Servers for Genmedia and Gemini 2.5 Flash Image model