Author Archives: Mohit Maithani - Page 3
Have you ever wondered how we humans evolved so much? – because we learn from our mistakes and try to continuously improve ourselves on the basis of those mistakes now the same case is with machines, just like humans machines can also tend to learn from their mistakes but how? – In neural networks &…
The post Ultimate Guide To Loss functions In PyTorch With Python Implementation appeared first on Analytics India Magazine.
Recently Nvidia labs launched a PyTorch-based GAN(Generative Adversarial Network) library: Imaginaire, that integrates the implementations of several images and video synthesis methods developed by NVIDIA into one. Let’s discuss all about Nvidia and their research with implementations. Preface Nvidia Research labs Nvidia Research Labs has been a great success for Nvidia over the years, they…
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Preface First, let’s discuss all the buzzwords, and then we will move to the implementation part where we code a starter project in stock market trading. Reinforcement learning Reinforcement learning is one of the three basic paradigms of Machine learning alongside supervised and unsupervised learning. It concerned with how intelligent agents take action by themselves…
The post How To Automate The Stock Market Using FinRL (Deep Reinforcement Learning Library)? appeared first on Analytics India Magazine.
Google research dataset team just added a new state of art 3-D video dataset for object detection i.e. Objectron, objectron dataset is published 2 months before writing this article, and it was published with a C-UDA(Computational Use of Data Agreement) license, this dataset contains short object-centric video clips capturing objects from different angles, each of…
The post Google Releases 3D Object Detection Dataset: Complete Guide To Objectron (With Implementation In Python) appeared first on Analytics India Magazine.
History GluonTS is a toolkit that is specifically designed for probabilistic time series modeling, It is a subpart of the Gluon organization, Gluon is an open-source deep-learning interface that allows developers to build neural nets without compromising performance and efficiency. AWS and Microsoft first introduced it on October 12th, 2017 that provides many different neural…
The post Guide To GluonTS and PytorchTS For Time-Series Forecasting (With Python Implementation) appeared first on Analytics India Magazine.
The history of web scraping is very long; In 1989 the World Wide Web(WWW) was launched and after some years World Wide Web Wanderer: The first Perl based web robot was created by Matthew Gray at MIT, the purpose of this web crawler is to measure the size of the World Wide Web. While the…
The post A Complete Learning Path To Web Scraping (With All Major Tools) appeared first on Analytics India Magazine.
Time series forecasting is in the industry before AI and machine learning, and it is the most complex technique to solve and forecast with the help of traditional methods of using statistics for time series forecasting the data. But now as the neural network has been introduced and many CNN-based time series forecasting models have…
The post Informer: LSTF(Long Sequence Time-Series Forecasting) Model appeared first on Analytics India Magazine.
Time series refers to plotting data points in sequential time order. Now those data points can use a data of an athlete’s performance, cricket player according to most run in one-day, weather reading every month, the daily closing price of company stock. Time series analysis is also the same term, but it is concerned with…
The post Guide to Time Series Forecasting using Tensorflow Core appeared first on Analytics India Magazine.
Pytorch Forecasting is a framework made on top of PyTorch Light used to ease time series forecasting with the help of neural networks for real-world use-cases.
The post Guide to Pytorch Time-Series Forecasting appeared first on Analytics India Magazine.
Object detection is a tedious job, and if you ever tried to build a custom object detector for your research there are many factors architectures we have to think about, we have to consider our model architecture like FPN(feature pyramid network) with region purposed network, and on opting for region proposal methods we have Faster…
The post Detectron2: Guide To Next-Generation Object Detection appeared first on Analytics India Magazine.