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Feature to automate a variety of tasks associated with training a predictive machine learning model to generate market forecasts given a set of input signals. In general, this aims would be a sandbox …
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[Predictive-Maintenance-using-LSTM-master.zip](https://github.com/Saima-786/INDUSTRIAL-PROJECT-upGrad-/files/15199759/Predictive-Maintenance-using-LSTM-master.zip)
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Analysis of real-time domestic consumer data and industrial electrical energy consumption data, providing valuable insights for decision-making & using mathematics, statistics, predicting report.
Con…
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I want to add a Cricket Shots Detection Project with Deep Learning methodologies , This Project will be a great addition to the repository.
The project focuses on classification of different cricke…
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**Note: Please, do not close the issue until its agreed by the OP as resolved! Its unethical**
Feature extraction and feature selection are two different entities all together. They should not be c…
ghost updated
4 years ago
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https://arxiv.org/abs/1807.03748
~big fan of Aaron van den Oord~
# Abstract
- propose universal unsupervised learning approach to extract useful representations from high-dimensional data, **CPC(…
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○ Time: 6 weeks
○ Tools Required: Scikit-learn, TensorFlow, PyTorch (within Azure AI Studio or Microsoft Fabric)
○ Steps:
1. Define model requirements and objectives.
□ Utilize histor…
zepor updated
1 month ago
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The demands of each are not compatible, and there are two separate pulvinar maps of visual areas, in addition to possible core vs. matrix distinction. Need to do more research, but computationally ne…
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# Keywords
CPC, InfoNCE, Predictive Coding, Negative Sampling
# TL;DR
- Predictive coding과 NCE를 활용하여 여러 도메인에 적용될 수 있는 unsupervised 학습 방법 제시
- 기존 binary 비교 방식의 NCE에서 확장하여 한 입력 데이터 내에서 복수의 negativ…
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This has to be treated differently for regression and classification but is very similar to the `predictive(..)` currently implemented. Basically `laplace.thompson_sample(x, n_samples=1)` should retur…