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Ali Malek's Projects

attentionmechanismstrajectoryprediction icon attentionmechanismstrajectoryprediction

In this repository, one can find the code for my master's thesis project. The main goal of the project was to study and improve attention mechanisms for trajectory prediction of moving agents.

cameratransform icon cameratransform

cameratransform is a python package which can be used to fit camera transformations and apply them to project points from the camera space to the world space and back.

cmakedemo icon cmakedemo

An example cross-platform CMake-based project using SDL2 and OpenGL

daformer icon daformer

Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

fastphotostyle icon fastphotostyle

Custom fork for use with https://github.com/smitheric95/domain_stylization

freud icon freud

Powerful, efficient particle trajectory analysis in scientific Python.

godot icon godot

Godot Engine โ€“ Multi-platform 2D and 3D game engine

gramformer icon gramformer

A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

linkedin-skill-assessments-quizzes icon linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2023 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lรถsungen, linkedin machine learning test LinkedIn test questions and answers

llm-twin-course icon llm-twin-course

๐Ÿค– ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป for ๐—ณ๐—ฟ๐—ฒ๐—ฒ how to ๐—ฏ๐˜‚๐—ถ๐—น๐—ฑ an end-to-end ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป-๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—Ÿ๐—Ÿ๐—  & ๐—ฅ๐—”๐—š ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ using ๐—Ÿ๐—Ÿ๐— ๐—ข๐—ฝ๐˜€ best practices: ~ ๐˜ด๐˜ฐ๐˜ถ๐˜ณ๐˜ค๐˜ฆ ๐˜ค๐˜ฐ๐˜ฅ๐˜ฆ + 11 ๐˜ฉ๐˜ข๐˜ฏ๐˜ฅ๐˜ด-๐˜ฐ๐˜ฏ ๐˜ญ๐˜ฆ๐˜ด๐˜ด๐˜ฐ๐˜ฏ๐˜ด

lsd-seg icon lsd-seg

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

mlflow icon mlflow

Open source platform for the machine learning lifecycle

pfnn icon pfnn

Phase-Functioned Neural Networks for Character Control

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