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(As mentioned in a few places: #948, #943, #791.)
We can look at https://github.com/uwdata/fast-kde/ for speed, and https://observablehq.com/@d3/kernel-density-estimation for a more straightforward…
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Success on install of SuGaR
Success on convertr.py and train.py in quick start.
Problem: cannot convert gaussian splat trained into the textured mesh (--export_uv_textured_mesh / -t )-
I firs…
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https://arxiv.org/abs/1610.02920
- Masatoshi Uehara, Issei Sato, Masahiro Suzuki, Kotaro Nakayama, Yutaka Matsuo
- Submitted on 10 Oct 2016 (v1), last revised 9 Nov 2016 (this version, v2)
TMats updated
6 years ago
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# Flexible conditional density estimators for discrete data
Neural conditional density estimators such as MDNs and MAFs are great for continuous data, but often we run into discrete distributions (…
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In #10 I discussed making scatter plots and one of the downsides is the extreme overplotting if entire datasets are used. `ggpointdensity` provides an alternative that is between a scatter plot and a…
Aariq updated
6 months ago
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I propose some optional columns that enable us to apply a unmarked population density estimator using video-recording camera traps, REST model (Nakashima et al. 2018 J Appl Ecol [doi.org/10.1111/1365-…
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**Is your feature request related to a problem? Please describe.**
Mean-shift clustering is a common mode/peak-finding method on imaging and other data, common in classical computer vision problems. …
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## 一言でいうと
ファイナンスの時系列データをニューラルネットワークで予測する際のベストプラクティスについて調査した研究(データの前処理がメイン)。ユーロ・ストックス50指数を題材に十分な予測が行えたとしている。
### 論文リンク
https://arxiv.org/abs/1903.00954
### 著者/所属機関
Jonas Rothfuss, Fabio …
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### Issues Found
I was trying to run the **05.13-Kernel-Density-Estimation.ipynb** notebook and found multiple issues:
* `AttributeError: Unknown property normed` - when running plots this error cro…
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Four years later, we've moved forward a lot, and some tools that made sense in the beginning don't fit so well in the package anymore! They should not be discarded, rather moved somewhere that makes m…