Pinned Repositories
cryptoapi
An API to respond to cryptocurrency value inquiries
ebay
Tehran Polytechnic Cloud Computing course project implementing a simple post submission service
ghost_leaker
lanelet2_loader
multimedia_streamer
neurals
Building Fully Connected and Convolutional Neural Networks to classify input images. The models are aimed to get trained on the CIFAR10 dataset. The CNN model performs significantly more accurate.
sounds_sus
Linear classifier on sentiment analysis. As part of the MITx course on linear models and deep learning.
traffix
Traffix focuses on developing smart traffic lights. Smart traffic lights are ones that adapt their timings and schedules based on the incoming traffic flow from the different lines of an intersection.
turtlebot3_object_tracker
On camera sensor and YOLOv8-aided object tracking. As part of the Tehran Polytechnic Robotics Course
worder
The Word Frequency program with CUDA project aims to develop an advanced solution for efficiently analyzing the frequency of words in large datasets. The project will leverage NVIDIA's CUDA framework to harness the power of GPUs, surpassing the performance of traditional CPU-based implementations.
AmirInt's Repositories
AmirInt/turtlebot3_object_tracker
On camera sensor and YOLOv8-aided object tracking. As part of the Tehran Polytechnic Robotics Course
AmirInt/multimedia_streamer
AmirInt/cryptoapi
An API to respond to cryptocurrency value inquiries
AmirInt/ghost_leaker
AmirInt/lanelet2_loader
AmirInt/message_broker
Computer Networks Course Project at Tehran Polytechnic
AmirInt/Swapi
AmirInt/colmix
Collaborative filtering via Gaussian Mixture Models. As part of the MITx course on machine learning with Python - from linear models to deep learning
AmirInt/ebay
Tehran Polytechnic Cloud Computing course project implementing a simple post submission service
AmirInt/neighbourhood_watch
As part of the UCSanDiego online course "Machine Learning Fundamentals"
AmirInt/neural_digit_recognition
Neural networks on digit recognition. As part of the MITx course on machine learning with Python - from linear models to deep learning
AmirInt/neurals
Building Fully Connected and Convolutional Neural Networks to classify input images. The models are aimed to get trained on the CIFAR10 dataset. The CNN model performs significantly more accurate.
AmirInt/reinforcement_living
Playing games using Reinforcement Learning. As part of the MITx course on machine learning with Python - from linear models to deep learning
AmirInt/Snooker-Unity
AmirInt/SSHChatRoom
A server-client chatroom application uses SSH to communicate securely
AmirInt/favourite_wine
As part of the UCSanDiego online course "Machine Learning Fundamentals"
AmirInt/sounds_sus
Linear classifier on sentiment analysis. As part of the MITx course on linear models and deep learning.
AmirInt/traffix
Traffix focuses on developing smart traffic lights. Smart traffic lights are ones that adapt their timings and schedules based on the incoming traffic flow from the different lines of an intersection.
AmirInt/worder
The Word Frequency program with CUDA project aims to develop an advanced solution for efficiently analyzing the frequency of words in large datasets. The project will leverage NVIDIA's CUDA framework to harness the power of GPUs, surpassing the performance of traditional CPU-based implementations.
AmirInt/autoware_adapi_msgs
AmirInt/autoware_auto_msgs
Forked from https://gitlab.com/autowarefoundation/autoware.auto/autoware_auto_msgs
AmirInt/autoware_common
AmirInt/classic_digit_recognition
Classic methods on digit recognition. As part of the MITx course on machine learning with Python - from linear models to deep learning
AmirInt/csv2
Fast CSV parser and writer for Modern C++
AmirInt/minimal_autoware_msgs
AmirInt/minimal_tier4_autoware_msgs
TIER IV's extension messages for Autoware
AmirInt/navigation.ros.org
https://navigation.ros.org/
AmirInt/ridgie
As part of the UCSanDiego online course "Machine Learning Fundamentals"
AmirInt/rviz_visual_tools
C++ API wrapper for displaying shapes and meshes in Rviz
AmirInt/sentiments_cared
As part of the UCSanDiego online course "Machine Learning Fundamentals"