Pinned Repositories
002_MachineLearning_eBook
Andrew-Ng-Machine-learning
anomalous-acm
Anomalous time series package for R (ACM)
anomaly-detection
AnomalyDetection
Anomaly detection of time-series using Pytorch
AutoEncoder-TF
Implementation of Dense and Convolutional Autoencoder in TensorFlow
autograd
Efficiently computes derivatives of numpy code.
Awesome-Geospatial
Long list of geospatial tools and resources
awesome-remote-sensing-papers
Selection of remote sensing papers
pratyushdeka's Repositories
pratyushdeka/awesome-TS-anomaly-detection
List of tools & datasets for anomaly detection on time-series data.
pratyushdeka/BCSE3066-V
BCSE3066 - Machine Learning - Fall 2019
pratyushdeka/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
pratyushdeka/d2l-en
Dive into Deep Learning: an interactive deep learning book with code, math, and discussions
pratyushdeka/dataviz
A book covering the fundamentals of data visualization.
pratyushdeka/deep-learning-illustrated
Deep Learning Illustrated (2019)
pratyushdeka/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
pratyushdeka/deepglo
This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the paper.
pratyushdeka/DeepLog
Pytorch implementation of DeepLog.
pratyushdeka/dts
A Keras library for multi-step time-series forecasting.
pratyushdeka/Early-Drowsiness-Detection
The supporting code used for the baseline temporal method on the UTA-RLDD dataset
pratyushdeka/FDP_SICET_ML_with_sklearn
pratyushdeka/gemini
Gemini is a modern LaTex beamerposter theme 🖼
pratyushdeka/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
pratyushdeka/HKO-7
Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"
pratyushdeka/individual-work
Module 2 for Campus Advisors
pratyushdeka/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
pratyushdeka/kdd2019deepTCN
pratyushdeka/keras-tcn
Keras Temporal Convolutional Network.
pratyushdeka/memae-anomaly-detection
MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
pratyushdeka/module3
Module 3 assignment
pratyushdeka/pkdeka
pratyushdeka/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
pratyushdeka/railroad-recognition
Teaching computers to recognize railroads on USGS maps
pratyushdeka/robust-physical-attack
Physical adversarial attack for fooling the Faster R-CNN object detector
pratyushdeka/safekit
pratyushdeka/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
pratyushdeka/TaPR
Time-series Aware Precision and Recall for Evaluating Anomaly Detection Methods
pratyushdeka/tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet paper
pratyushdeka/time-series-forecasting
Recurrent Neural Network Implementations for Time Series Forecasting