Mrinal Walia's Projects
Code Samples from Neural Networks for NLP
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning.
NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays
Detecting objects using real time web cam using their colors properties
"C" program for the implementation of a one pass assembler.
OneEye is a face recognition software running on AWS DeepLens that can detect and identifies faces
Collection of Open Source Events and Hackathon's on a monthly basis. Contribute with us by just opening an issue or PRπ. For contribution in webpage please visit https://github.com/Catalyst-SMVD/OpenSourceEvents-Frontend
A curation of paid and unpaid requests for the community to work on.
OpenCV 3 with Python 3 2018
Open Source Computer Vision Library
Repository for OpenCV's extra modules
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Pandas is a Python module, and Python is the programming language that we're going to use. The Pandas module is a high performance, highly efficient, and high level data analysis library. At its core, it is very much like operating a headless version of a spreadsheet, like Excel. Most of the datasets you work with will be what are called dataframes. You may be familiar with this term already, it is used across other languages, but, if not, a dataframe is most often just like a spreadsheet. Columns and rows, that's all there is to it! From here, we can utilize Pandas to perform operations on our data sets at lightning speeds.
Extract data from a wide range of Internet sources into a pandas DataFrame.
To extract details from Indian National Identification Cards such as PAN (completed) & Aadhar, Passport, Driving License (WIP) in a structured format
Papers from the computer science community to read and discuss.
Operate and manipulate physical quantities in Python
This is my Personal Portfolio website In Django
A social exercise game you can play while social distancing.
I practice programming and i want everyone to use it for their practice as well , if they are stuck somewhere.
Convolutional LSTM neural network to extrapolate radar images, and predict rainfall - CIKM 2017 contest
Statistical forecasting is the art and science of forecasting from data, with or without knowing in advance what equation you should use. The idea is simple: look for statistical patterns in currently available data that you believe will continue into the future. In other words, figure out the way in which the future will look very much like the present, only longer. Time Series forecasting techniques are very important for a data scientist to master as time series data occur in every domain from medical, stock market, climate change prediction, and so on.
In a regression problem, we aim to predict the output of a continuous value, like a price or a probability. Contrast this with a classification problem, where we aim to select a class from a list of classes (for example, where a picture contains an apple or an orange, recognizing which fruit is in the picture). This notebook uses the classic Auto MPG Dataset and builds a model to predict the fuel efficiency of late-1970s and early 1980s automobiles. To do this, we'll provide the model with a description of many automobiles from that time period. This description includes attributes like: cylinders, displacement, horsepower, and weight.
Predicting Binary Option in Highlow Australia's demotrade using tensorflow (or other machine learning algorithms). This project is very incomplete. Please help!
I love writing and sharing my knowledge with others. All my articles or blogs i write on different platforms like GeeksforGeeks, Medium, DataScienceplus, etc will be commited here for public use.
Pygal helps you make visually appealing representations of the data youβre working with. Pygal is particularly well suited for visualizations that will be presented online, because it supports interactive elements.
PyMongo Tutorials
A library for answering questions using data you cannot see