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Great Reads

Forecasting Stock Market Volatility with Kalman Filters

by Jin Choi, PhD

A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities

Predicting Forest Fires Using PyTorch

by Intel

Transfer Learning on a CPU Is an Efficient Way to Build Accurate Image Classifiers

Comparing Self-Hosted AI Servers: A Guide for Developers

by Chris Maunder

This article explores the various self-hosted AI frameworks available and understand their strengths, weaknesses, and compatibility with your project requirements. Make an informed decision that aligns with your organization's goals

Latest Articles

Predicting Forest Fires Using PyTorch

by Intel

Transfer Learning on a CPU Is an Efficient Way to Build Accurate Image Classifiers

Comparing Self-Hosted AI Servers: A Guide for Developers

by Chris Maunder

Forecasting Stock Market Volatility with Kalman Filters

by Jin Choi, PhD

A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities

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PyTorch

How can I export the gndnet model using pythorch and use it in C++?

5 Mar 2024 by Claudia Rodrima

This is the model #!/usr/bin/env python import math import numpy as np import ipdb as pdb import torch import torch.nn as nn import torch.nn.functional as F from modules.pointpillars import PillarFeatureNet, PointPillarsScatter from...

Python

C++

PyTorch

Predicting Forest Fires Using PyTorch

18 Dec 2023 by Intel

Transfer Learning on a CPU Is an Efficient Way to Build Accurate Image Classifiers

Python

PyTorch

Comparing Self-Hosted AI Servers: A Guide for Developers

13 Nov 2023 by Chris Maunder

artificial-intelligence

Forecasting Stock Market Volatility with Kalman Filters

21 Aug 2023 by Jin Choi, PhD

A layman's description of how Kalman Filters work, and sample code that shows how to use it to forecast stock market volatilities

Python

PyTorch

machine-learning

Pytorch: the value of loss function is always 0

19 Jul 2023 by njukenanli

I have little experience in training neural networks. When I try to train the network function, I find the loss function is always 0. Then I make the following attempt: >>> from torch import tensor ...

PyTorch

Getting keyerror while training my dataset for ESRGAN super resolution task

9 Jul 2023 by cemre aldoğan

I am trying to implement a type of GAN (Generative Adversarial Networks) named RS-ESRGAN to my satellite imagery dataset. You can check the github page of it if you like(https://github.com/luissalgueiro/rs-esrgan/tree/master). Here is the...

Python

PyTorch

deep-learning

Getting keyerror while training my dataset for ESRGAN super resolution task

9 Jul 2023 by Richard MacCutchan

The problem is cause by this part: MeanVal = val_data["LR_mean"] where the code expects the val_data to be a dictionary which contains an entry named LR_mean. So you need to go back to the git code to find out where that needs to be set.

Python

PyTorch

deep-learning