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Hi Lucas,
I am implementing different algorithms on different net provided in the library, but I want to simulate the network with a fixed timing and compare the rewards function output for differe…
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Develop machine learning algorithms and models for tasks such as prediction, classification, or recommendation.
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# Benchmarking near-term quantum algorithms is an art | PennyLane Blog
Scientific literature often describes quantum machine learning models outperforming classical models. In our most recent paper, …
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Detecting Stress Levels from PPG Sensor Data using Neural Networks.
:red_circle: **Aim** : The goal o…
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https://dl.acm.org/doi/fullHtml/10.1145/3426723
注意☠️ : まだかなり斜め読みなので、解釈が誤っているかもです。後半ほどまとめが雑です 🙏
## 概要
Sequential Recommendationの包括的なサーベイ論文。50ページ近くある。以下のようなことがまとめてある。
- Sequential Recommendat…
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### API
Python
### Description
Have you considered making an integration between Kùzu and PySpark?
Neo4j, as an example, has a [Neo4j connector for Apache Spark](https://neo4j.com/docs/spark/cur…
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Have you compared the SSRL with PPO? I find the following code in your code:
What's the performance between them?
```python
def make_ppo_networks(cfg: DictConfig, saved_policies_dir: Path,
…
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Nothing set in stone, but good to know who's working on what:
- [x] Geographic data in Julia @asinghvi17 @evetion
- [ ] Attribute data operations @asinghvi17
- [ ] Spatial data operations
- [ ] …
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Run an experiment to evaluate the performance of a simulated annealing gradient descent (SA-GD) approach compared to traditional gradient descent (GD). The purpose of this experiment is to understand …