-
Hello everyone! Recently, I read Vineet Suryan's [blog](https://www.collabora.com/news-and-blog/news-and-events/benchmarking-machine-learning-frameworks.html) on benchmarking machine learning framewor…
-
Today, Machine learning applications are important use-cases of Python.
I haven't prepared concrete benchmark implementations yet, but I would like to suggest guidelines for machine learning benchmar…
-
### Description
Qiskit Applications (Optimization, Finance, Nature, ML) have some performance benchmarks implemented. By performance we understand various metrics like executing time, required me…
-
# Description
Qiskit Applications (Optimization, Finance, Nature, ML) have recently started working on performance benchmarks. By performance we understand various metrics like executing time, requir…
-
# Goal
As a developer, I want to improve the existing machine learning model using XGBoost, so that I can beat the benchmark (buy and hold strategy).
As a developer, I want to achieve higher than 50%…
-
- [ ] [GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data | OpenReview](https://openreview.net/forum?id=XEFWBxi075)
# GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
## …
-
### Title
Enhancing LLMs with Vernacular Language Support
### Describe your Talk
In this session, we will dive into the following topics:
1. Extending Vocabulary: Learn how to use the Sentence…
-
- https://arxiv.org/abs/2103.14749
- 2021
本研究では,コンピュータビジョン,自然言語,オーディオのデータセットのうち,最も一般的に使用されている10個のテストセットにおけるラベルエラーをアルゴリズムによって特定し,これらのラベルエラーがベンチマークの結果に影響を与える可能性を調査しました.
10個のデータセットの平均誤差は3.4%と推定され、例え…
e4exp updated
3 years ago
-
# 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, …
-
### 🚀 The feature, motivation and pitch
Include the Llama-405B model as part of the nightly performance benchmarks here: https://buildkite.com/vllm/performance-benchmark/builds/4068
Is the reaso…