Pinned Repositories
Active-Learning-Supervised-Machine-Learning-With-Minimal-Labeled-Data
Active Learning : Supervised Machine Learning With Minimal Data
backtrader
Python Backtesting library for trading strategies
ECG-Signal-Segmentation-With-1D-Convolutional-Neural-Network
ECG Signal Segmentation With 1D-Convolutional Neural Network
ECG-Signal-Segmentation-With-Hidden-Markov-Models
Face-Detection-and-Landmark-Detection-with-OpenCV-and-DLib
FLAML_AutoML
Code samples for AutoML training using FLAML library
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.
Jacobian-Supervision-for-progressively-growing-variational-autoencoder
Multi-purpose-Disentangling-Variational-Autoencoders-for-ECG-data
Phasor-Transform-for-Automatic-Delineation-of-Single-lead-ECG-Fiducial-Points
Custom implementation of signal processing based approach For ECG signal fiducial points delineation as presented in Martinez 2010 paper (http://iopscience.iop.org/article/10.1088/0967-3334/31/11/005/meta)
jaideepmurkute's Repositories
jaideepmurkute/Phasor-Transform-for-Automatic-Delineation-of-Single-lead-ECG-Fiducial-Points
Custom implementation of signal processing based approach For ECG signal fiducial points delineation as presented in Martinez 2010 paper (http://iopscience.iop.org/article/10.1088/0967-3334/31/11/005/meta)
jaideepmurkute/Language-Classification-With-Adaptive-Boosting-AdaBoost-Ensemble-Trees-from-scratch
Language Classification With Adaptive Boosting (AdaBoost) Ensemble Trees from scratch
jaideepmurkute/som-tsp
Solving the Traveling Salesman Problem using Self-Organizing Maps
jaideepmurkute/ECG-Signal-Segmentation-With-1D-Convolutional-Neural-Network
ECG Signal Segmentation With 1D-Convolutional Neural Network
jaideepmurkute/Jacobian-Supervision-for-progressively-growing-variational-autoencoder
jaideepmurkute/Bayesian-Nuts-and-Bolts
Exploring behavior of varying cost Bayesian classifier
jaideepmurkute/botorch
Bayesian optimization in PyTorch
jaideepmurkute/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
jaideepmurkute/DeepLearningInFinance
jaideepmurkute/ECGCS
ecg compressed sensing
jaideepmurkute/handong1587.github.io
jaideepmurkute/ibp_vae
mean-field and structured VAEs for the IBP
jaideepmurkute/in-quiz-questions
Linkedin quiz assessment, answers and questions (aws-lambda, rest-api, javascript, react, git, html, jquery, maven, mongodb, xml, java, css, python ...) ответы на квиз
jaideepmurkute/l5kit
L5Kit - level5.lyft.com
jaideepmurkute/log-synth
Generates more or less realistic log data for testing simple aggregation queries.
jaideepmurkute/Malware-Prediction-with-neural-net-stacked-gradient-boosted-trees
Malware Prediction with neural net stacked gradient boosted trees
jaideepmurkute/multi-level-vae
This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), which was accepted at AAAI-18.
jaideepmurkute/Orienteering-Pathfinder-with-A-star-algorithm
Orienteering Pathfinder with A* algorithm
jaideepmurkute/Pixel-wise-segmentation-of-road-scene-images-
Pixel-wise segmentation of road scene images
jaideepmurkute/pytorch-lr-finder
A learning rate range test implementation in PyTorch
jaideepmurkute/PyTorch_Focal_Loss
jaideepmurkute/Restaurants-Trend-Analysis-of-Yelp-Dataset
jaideepmurkute/wfdb-python
Native Python WFDB package
jaideepmurkute/Wine-Quality-Prediction