mmehedin

Pinned Repositories

4180AndroidMobile
Language:Jupyter Notebook0 2 00
Aktins_Map_Server
0 2 00
AnoGAN-pytorch
Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"
Language:Python00
APP_test
Language:JavaScript0 2 00
Atkins
Atkins demo:
Language:JavaScript0 3 01
bridges
TUES Bridges - Engaging classrooms.
Language:Java0 2 00
bridgesAPI
Data delivery system for multiple data sources (Twitter, Facebook, etc).
Language:JavaScript0 2 00
BridgesUNCC.github.io
Website for NSF Bridges project at UNCC
Language:HTML0 2 00
ch4_wt
Language:Ruby0 2 00
ChatGPT
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
Language:Rust0 0 00

mmehedin's Repositories

mmehedin/4180AndroidMobile
Language:Jupyter Notebook0 2 00
mmehedin/AnoGAN-pytorch
Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"
Language:Python00
mmehedin/ChatGPT
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
Language:Rust0 0 00
mmehedin/color
0 2 00
mmehedin/cpp_modules_sample
Language:CMake0 2 00
mmehedin/cv_apple_banana
mmehedin/derma_diagnosis
Project for ITCS5152 CV
Language:Jupyter Notebook2 01
mmehedin/DVrouting
Language:C++2 0
mmehedin/f-AnoGAN
Implementation of f-AnoGAN with PyTorch
mmehedin/helloRomania
Language:Ruby2 0
mmehedin/HTTP_Server_Client
Language:C++2 0
mmehedin/hw-bdd-tdd-cycle
Language:HTML2 0
mmehedin/IntelSystemsITCS6150_color_perception
Language:Jupyter Notebook2 0
mmehedin/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Language:Python0 0
mmehedin/MID
[CVPR2022] Code for CVPR 2022 paper "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion"
mmehedin/Multi-Agent-Deep-Deterministic-Policy-Gradients
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
Language:Jupyter Notebook0 0
mmehedin/neural-cryptography-tensorflow
Neural Networks that invent their own encryption :key:
mmehedin/neural_encryption_networks
ICADCML 2021 A Novel Approach to Encrypt Data using Deep Neural Networks
mmehedin/one_shot_summarization
Language:Jupyter Notebook2 0
mmehedin/phm-ieee-2012-data-challenge-dataset
Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute
1 0
mmehedin/Project-KDD-6162
Language:HTML2 0
mmehedin/Project_Q-A
NLP project
Language:Jupyter Notebook2 0
mmehedin/Project_ROS_Pum6r_simulation
Language:C++2 0
mmehedin/rails_jenkins01
Language:Ruby2 0
mmehedin/rpg_e2vid
Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).
Language:Python1 0
mmehedin/seniorproject
Language:Python2 0
mmehedin/summarization
Language:Jupyter Notebook2 01
mmehedin/TextToVoice
Project 6112
2 0
mmehedin/topnn_framework
Language:Python2 0
mmehedin/Trajectron-plus-plus
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).