AizazSharif

Brain-Tumor-Segmentation-and-Localization-using-Deep-Learning

Bron-Kerbosch-Algorithm

C implementation of finding Maximal and Maximum Clique Using Bron Kerbosch Algorithm

Handwriting-Generation-Using-Recurrent-Neural-Networks

Pytorch Implementation of Conditional + Unconditional Handwriting

MAD-ARL

named-pipes-win32

Code for named pipes in C++ using the Win32 API.

nonce-prediction-with-AI

AI based solution for finding nonce values in blockchain.

Benchmarking-QRS-2022

Implementation of "Evaluating the Robustness of Deep Reinforcement Learning for Autonomous Policies in a Multi-Agent Urban Driving Environment".

DeepOrder-ICSME21

Implementation of "DeepOrder: Deep Learning for Test Case Prioritization in Continuous Integration Testing".

MAD-ARL

Python project for the paper "Adversarial Deep Reinforcement Learning for Improving the Robustness of Multi-agent Autonomous Driving Policies".

ReMAV

Implementation of "ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events".

AizazSharif/Handwriting-Generation-Using-Recurrent-Neural-Networks

Pytorch Implementation of Conditional + Unconditional Handwriting

AizazSharif/MAD-ARL

AizazSharif/Bron-Kerbosch-Algorithm

C implementation of finding Maximal and Maximum Clique Using Bron Kerbosch Algorithm

AizazSharif/named-pipes-win32

Code for named pipes in C++ using the Win32 API.

AizazSharif/nonce-prediction-with-AI

AI based solution for finding nonce values in blockchain.

AizazSharif/aizazsharif.github.io

Portfolio

AizazSharif/Brain-Tumor-Segmentation-and-Localization-using-Deep-Learning

AizazSharif/macad-agents

Agents code for Multi-Agent Connected Autonomous Driving (MACAD) described in the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

AizazSharif/al-folio

A beautiful Jekyll theme for academics

AizazSharif/brats2015

Evaluation of Multi-Modal MRI Images for Brain Tumor Segmentation using U-net

AizazSharif/brats_keras

use keras to implement 3d/2d unet for brats2015 dataset to segment

AizazSharif/brohrer.github.io

Public web page for brohrer

AizazSharif/DeepOrder-site

AizazSharif/DeepSpeech

A PaddlePaddle implementation of DeepSpeech2 architecture for ASR.

AizazSharif/dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

AizazSharif/Gene-Ontology-Classification-of-Protein-Sequence

Gene Ontology Classification of Protein Sequence Using Fully Connected Neural Networks

AizazSharif/inltk

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

AizazSharif/javascript-algorithms

Algorithms and data structures implemented in JavaScript with explanations and links to further readings

AizazSharif/Lab-April

AizazSharif/Lab-May

AizazSharif/libra

Libra’s mission is to enable a simple global currency and financial infrastructure that empowers billions of people.

AizazSharif/macad-gym

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

AizazSharif/multiclass-segmentation-NINA

AizazSharif/NewSite

AizazSharif/P6-DAND-Make-Effective-Data_Visualization-Using-D3js

AizazSharif/Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

AizazSharif/ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

AizazSharif/rebound

Command-line tool that instantly fetches Stack Overflow results when you get a compiler error

AizazSharif/resist

Inria/Simula team RESIST about Intelligent Systems

AizazSharif/tryaizaz.github.io