Pinned Repositories
Activity-Detection-using-IMU-sensor
User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart wearables is used for continuous activity detection, which can be used for in depth activity monitoring and recommender systems.
ANOVA---Sales-Volume
Analysis of Variance
DCNN-timeseries-RUL
DCNN for Machine RUL Prediction using Time-series Data
Hierarchical-clustering
Identify-Facial-Expression
A step closer to intelligent infotainment - Machines that understand your mood!!..
KNN_K-Nearest-Neighbor
k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression
Manufacturing_Line-i4.0
Shop floor always have challenges. When the part fails at the end of line testing, shop floor manager instinctively retrace your steps to identify at what point you went wrong. Here, the ML based algorithm is closely monitoring the parts as they progress through the manufacturing processes. So that the defective parts can be intelligently identified. An i4.0 use case with machine learning.
NER-Named-Entity-Recognition
Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
Predict_Price_from_Text-NLP-Tensorflow-Case_study
Wide Deep Learning - Wide models are models with sparse feature vectors, or vectors with mostly zero values. Multi-layer deep networks, on the other hand, where there may be unexpected relationships between inputs and outputs. If you have got a prediction task that could benefit from both of these models (recommendation models or models with text inputs are good examples), wide & deep might be a good fit.
Predict_RNA-RNA_Interaction
In this project I have used deep learning methods to predict RNA-RNA interaction (RRI) from the sequencing-based training data.
mohan-mj's Repositories
mohan-mj/SPARQL-query
mohan-mj/TabFormer
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
mohan-mj/poetry_demo
mohan-mj/gsoc-wav2vec2
GSoC'2021 | TensorFlow implementation of Wav2Vec2
mohan-mj/codeSTACKr
mohan-mj/Hypothesis-Testing---One-sample-t-test
Hypothesis Testing - One sample t test
mohan-mj/disable-devtool
Disable open DevTools on Browser
mohan-mj/PCA-Visualization
mohan-mj/mXY-board-xy-plotter-drawing-machine
mohan-mj/Advanced-Python
Python basics for beginner and advanced
mohan-mj/ar-cptext
AR Copy Paste - Text Proto
mohan-mj/PROJECT-EDA_Healthcare
The data at hand contains medical costs of people characterized by certain attributes. Explore and generate value out of this data.
mohan-mj/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
mohan-mj/Convolutional-Neural-Network-CNN
mohan-mj/Python-Coding-Interview
mohan-mj/programming-workshops
Materials for the BRITE-REU programming workshops
mohan-mj/matplotlib
matplotlib: plotting with Python
mohan-mj/ventilator
Low-Cost Open Source Ventilator or PAPR
mohan-mj/Python
Python learning, assignments, solutions
mohan-mj/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
mohan-mj/Web-scraping
Imagine you have to pull a large amount of data from websites and you want to do it as quickly as possible. How would you do it without manually going to each website and getting the data? Well, “Web Scraping” is the answer. Web Scraping just makes this job easier and faster.
mohan-mj/interpret
Fit interpretable machine learning models. Explain blackbox machine learning.
mohan-mj/ACE
Code for the paper, Neural Network Attributions: A Causal Perspective (ICML 2019).
mohan-mj/d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
mohan-mj/PROJECT---Face-Recognition-and-Blurring
Computer Vision Project: Blurring the face area of people from videos is done in all news channels and to hide the identity of a person. With computer vision, we can automatically detect the face region of the person and use it to blur the image. The project will be useful in blurring the faces of the people in the video.
mohan-mj/face_recognition
The world's simplest facial recognition api for Python and the command line
mohan-mj/selenium
Selenium is a portable framework for testing web applications. It provides a playback tool for authoring functional tests.
mohan-mj/DistilBERT
BERT (Bidirectional Encoder Representations from Transformers) implementation for nlp sentiment classification
mohan-mj/Logistic-Regression
mohan-mj/Polynomial-Regression