-
1. Train a model by applying noise filtering/reduction on training data (such as denoiser or other tools/models)
2. Apply noise filtering/reduction on test data, then run inference on that with the n…
yairl updated
3 months ago
-
The current dataset being used for evaluation has the following properties:
1. Fetch 2048 samples from historical synthetic dataset
2. Fetch 2048 samples from latest 48 hours of synthetic data
3.…
-
I'm using [InspectAI](https://inspect.ai-safety-institute.org.uk/) to evaluate language models. In particular, I'm evaluating the benefits of structured text generation using Outlines with language mo…
-
Groundwater contamination with arsenic is a serious problem in many parts of the world, and can have severe health consequences for those who consume it. In this project, we aim to predict the arsenic…
-
```
$models = Data::on($conn);
$good = $models->filter(Filter::equal('processed', 'y'))->count();
$bad = $models->filter(Filter::equal('processed', 'n'))->count();
```
this example gives $b…
-
🔴 Title:
Implementing Machine Learning Models for Stock Market Prediction
🔴 Aim:
To build and compare various machine learning models to predict stock prices and trends based on historical stock …
-
Hi, thank you for the excellent work—it's been very insightful. However, after following the instructions exactly as provided without modifying any code, I am unable to reproduce the results.
First…
-
For example:
```
gsutil ls gs://moz-fx-translations-data--303e-prod-translations-data/models/lt-en/opustrainer_no_student_aug_K1iHndFUSxSEDRLg_H9l1A/evaluation/student
```
shows
```
gs://m…
-
Hi, thanks for the great work. I would like to know how to evaluate the generation performance of models. Specifically, I am interested in how to calculate FID and other metrics such as IS, and whethe…
-
**Learning Goals:**
- Understand the concept and use of the Random Forest Classifier and K-Nearest Neighbors (KNN) algorithm.
- Learn how to preprocess medical data for machine learning, particula…