Mohammed Mansoor (IIDarkKnightII)

IIDarkKnightII

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Location:Bangalore, India

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Mohammed Mansoor's repositories

apl

Open source implementation of Adaptive Posterior Learning (ICLR 2019)

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ABSA-PyTorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。

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ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

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AutoRCCar

OpenCV Python Neural Network Autonomous RC Car

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cnn-svm

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

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CS221-Audio-Tagging

This is a repo for CS221 Audio Tagging Project.

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DeepLearning-SeGAN-Segmentation

This contains an implementation of the SeGAN model for semantic segmentation introduced in https://arxiv.org/pdf/1703.10239.pdf

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eif

Extended Isolation Forest for Anomaly Detection

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FUNIT

Translate images to unseen domains in the test time with few example images.

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GRU-D

inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver

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h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

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HIF

Hybrid Isolation Forest

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icassp19

Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"

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IIDarkKnightII

Config files for my GitHub profile.

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IndRNN_Theano_Lasagne

This code is to implement the IndRNN.

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info8010-deep-learning

Lectures for INFO8010 - Deep Learning, ULiège

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inversecooking

Recipe Generation from Food Images

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learn2learn

Research questions, notes and implementations of meta and transfer learning algorithms.

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learning-to-learn

Learning to Learn in TensorFlow

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LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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machine_learning_examples

A collection of machine learning examples and tutorials.

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ML

Codes related to various ML Hackathons

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spring-cloud-stream-binder-sns

Amazon SNS for Spring Cloud Stream

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training

🐝 Custom Object Detection and Classification Training

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uaa

CloudFoundry User Account and Authentication (UAA) Server

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weightagnostic.github.io

repo for interactive article

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