Contents
async
Faster document operations with pyvespa • Aug 22, 2021
bagging
Trees, bagging, random forest, boosting and their implementations • Jun 28, 2022
BERT
Fine-tuning a BERT model for search applications • Nov 25, 2020
Fine-tuning a BERT model with transformers • Nov 12, 2020
Fine-tuning a BERT model for search applications with Optuna tuning • Nov 7, 2020
Fine-tuning a BERT model for search applications • Oct 29, 2020
bm25
The Probabilistic Relevance Framework • Dec 1, 2020
book
Notes about the book The Kaggle book • Jun 21, 2022
Chapter 2 - The mathematical building blocks of Neural Networks • Jun 14, 2022
boosting
Trees, bagging, random forest, boosting and their implementations • Jun 28, 2022
clip model
Vespa text-image search with PyTorch feeder • Oct 25, 2021
Understanding CLIP image pipeline • Oct 22, 2021
clip_model
Compare pre-trained CLIP models for text-image retrieval • Oct 28, 2021
Evaluate text-image search app with Flickr 8k dataset • Oct 26, 2021
cord19
Build a basic text search application from python with Vespa • Feb 10, 2021
Fine-tuning a BERT model for search applications with Optuna tuning • Nov 7, 2020
How to evaluate Vespa ranking functions from python • Nov 5, 2020
Fine-tuning a BERT model for search applications • Oct 29, 2020
How to connect and interact with search applications from python • Oct 28, 2020
COVID-19
Vespa submission to round 1 of TREC-COVID • May 8, 2020
data science
Notes about the book The Kaggle book • Jun 21, 2022
dataset
Interesting datasets for search engine applications • Jun 27, 2022
Explore the Flicker 8k dataset • Oct 21, 2021
decision trees
Trees, bagging, random forest, boosting and their implementations • Jun 28, 2022
decoding
Send and retrieve encoded media to Vespa • Dec 3, 2021
Encode and decode images and videos with strings • Dec 1, 2021
deep_learning
Chapter 2 - The mathematical building blocks of Neural Networks • Jun 14, 2022
dual encoder
Understanding CLIP image pipeline • Oct 22, 2021
embeddings
Proposal for a simplified pyvespa API • Nov 17, 2020
encoding
Send and retrieve encoded media to Vespa • Dec 3, 2021
Encode and decode images and videos with strings • Dec 1, 2021
feature selection
Sequential feature selection applied to ranking features • Jun 19, 2020
Reducing the number of initial features to select • Jun 11, 2020
Best subset selection of Vespa ranking features • May 27, 2020
flicker8k
Compare pre-trained CLIP models for text-image retrieval • Oct 28, 2021
Evaluate text-image search app with Flickr 8k dataset • Oct 26, 2021
Explore the Flicker 8k dataset • Oct 21, 2021
huggingface
Vespa stateless model evaluation • Aug 10, 2021
image
Explore the Flicker 8k dataset • Oct 21, 2021
image data
Send and retrieve encoded media to Vespa • Dec 3, 2021
Encode and decode images and videos with strings • Dec 1, 2021
image frames
Exploring the UCF 101 Action Dataset • Nov 17, 2021
image processing
Vespa text-image search with PyTorch feeder • Oct 25, 2021
Understanding CLIP image pipeline • Oct 22, 2021
Generate images from video with imageio • Oct 20, 2021
imageio
Generate images from video with imageio • Oct 20, 2021
java
Notes on Java • Jul 18, 2022
jupyter
Fastpages Notebook Blog Post • Feb 20, 2020
kaggle
Notes about the book The Kaggle book • Jun 21, 2022
learning to rank
Learning to Rank • Jun 27, 2022
loading data
Load tabular data with TensorFlow • Jun 14, 2022
markdown
An Example Markdown Post • Jan 14, 2020
MIND
Build a News recommendation app from python with Vespa • May 13, 2021
Build a News recommendation app from python with Vespa • Mar 8, 2021
Build a News recommendation app from python with Vespa • Mar 2, 2021
ML
End-to-end ML • Aug 12, 2022
MLOPS
End-to-end ML • Aug 12, 2022
model selection
Sequential feature selection applied to ranking features • Jun 19, 2020
Reducing the number of initial features to select • Jun 11, 2020
Best subset selection of Vespa ranking features • May 27, 2020
MS MARCO
Semantic search with embedding representation from python • Dec 4, 2020
Semantic text search with Vespa python API • May 15, 2020
multi-label classification
Multi-label classification encoding with TensorFlow • Oct 18, 2021
nbdev
Notes about nbdev • Aug 9, 2022
news recommendation
Build a News recommendation app from python with Vespa • May 13, 2021
Build a News recommendation app from python with Vespa • Mar 8, 2021
Build a News recommendation app from python with Vespa • Mar 2, 2021
nlp
Explore the Flicker 8k dataset • Oct 21, 2021
optuna
Fine-tuning a BERT model for search applications with Optuna tuning • Nov 7, 2020
PIL
Understanding CLIP image pipeline • Oct 22, 2021
python
Notes about nbdev • Aug 9, 2022
Chapter 2 - The mathematical building blocks of Neural Networks • Jun 14, 2022
pytorch
Vespa text-image search with PyTorch feeder • Oct 25, 2021
pytorch dataset
Vespa text-image search with PyTorch feeder • Oct 25, 2021
pyvespa
Faster document operations with pyvespa • Aug 22, 2021
Vespa stateless model evaluation • Aug 10, 2021
Build a News recommendation app from python with Vespa • May 13, 2021
Build sentence/paragraph level QA application from python with Vespa • Apr 7, 2021
Build a News recommendation app from python with Vespa • Mar 8, 2021
Build a News recommendation app from python with Vespa • Mar 2, 2021
Run search engine experiments in Vespa from python • Feb 24, 2021
Build a basic text search application from python with Vespa • Feb 10, 2021
Semantic search with embedding representation from python • Dec 4, 2020
Timing Vespa queries • Dec 2, 2020
Proposal for a simplified pyvespa API • Nov 17, 2020
Debug first iteration of BERT models • Nov 8, 2020
Feed, get, update and delete Vespa data with pyvespa • Nov 6, 2020
How to evaluate Vespa ranking functions from python • Nov 5, 2020
How to connect and interact with search applications from python • Oct 28, 2020
QA
Build sentence/paragraph level QA application from python with Vespa • Apr 7, 2021
random forest
Trees, bagging, random forest, boosting and their implementations • Jun 28, 2022
ranking features
Sequential feature selection applied to ranking features • Jun 19, 2020
Reducing the number of initial features to select • Jun 11, 2020
Best subset selection of Vespa ranking features • May 27, 2020
search
Interesting datasets for search engine applications • Jun 27, 2022
Build sentence/paragraph level QA application from python with Vespa • Apr 7, 2021
Semantic search with embedding representation from python • Dec 4, 2020
The Probabilistic Relevance Framework • Dec 1, 2020
Fine-tuning a BERT model for search applications • Nov 25, 2020
Fine-tuning a BERT model for search applications with Optuna tuning • Nov 7, 2020
Feed, get, update and delete Vespa data with pyvespa • Nov 6, 2020
How to evaluate Vespa ranking functions from python • Nov 5, 2020
Fine-tuning a BERT model for search applications • Oct 29, 2020
How to connect and interact with search applications from python • Oct 28, 2020
semantic search
Semantic search with embedding representation from python • Dec 4, 2020
Semantic text search with Vespa python API • May 15, 2020
speed
Faster document operations with pyvespa • Aug 22, 2021
sprint
Debug first iteration of BERT models • Nov 8, 2020
SQL
Do not modify SQLite table while sequentially reading data • Dec 16, 2021
SQLite
Do not modify SQLite table while sequentially reading data • Dec 16, 2021
stateless model evaluation
Vespa stateless model evaluation • Aug 10, 2021
tabular_data
Load tabular data with TensorFlow • Jun 14, 2022
tensorflow
Load tabular data with TensorFlow • Jun 14, 2022
Chapter 2 - The mathematical building blocks of Neural Networks • Jun 14, 2022
Simple baseline for YouTube 8M video-level features with TensorFlow • Nov 12, 2021
Multi-label classification encoding with TensorFlow • Oct 18, 2021
Create TensorFlow Dataset from TFRecord files • Oct 8, 2021
term-based matching
The Probabilistic Relevance Framework • Dec 1, 2020
text search
Semantic search with embedding representation from python • Dec 4, 2020
Semantic text search with Vespa python API • May 15, 2020
text_image_search
Compare pre-trained CLIP models for text-image retrieval • Oct 28, 2021
Evaluate text-image search app with Flickr 8k dataset • Oct 26, 2021
training
Simple baseline for YouTube 8M video-level features with TensorFlow • Nov 12, 2021
Fine-tuning a BERT model for search applications • Nov 25, 2020
Fine-tuning a BERT model with transformers • Nov 12, 2020
Fine-tuning a BERT model for search applications with Optuna tuning • Nov 7, 2020
Fine-tuning a BERT model for search applications • Oct 29, 2020
ucf 101
Exploring the UCF 101 Action Dataset • Nov 17, 2021
vespa
Send and retrieve encoded media to Vespa • Dec 3, 2021
Compare pre-trained CLIP models for text-image retrieval • Oct 28, 2021
Evaluate text-image search app with Flickr 8k dataset • Oct 26, 2021
Vespa text-image search with PyTorch feeder • Oct 25, 2021
Faster document operations with pyvespa • Aug 22, 2021
Vespa stateless model evaluation • Aug 10, 2021
Build a News recommendation app from python with Vespa • May 13, 2021
Build sentence/paragraph level QA application from python with Vespa • Apr 7, 2021
Build a News recommendation app from python with Vespa • Mar 8, 2021
Build a News recommendation app from python with Vespa • Mar 2, 2021
Run search engine experiments in Vespa from python • Feb 24, 2021
Build a basic text search application from python with Vespa • Feb 10, 2021
Semantic search with embedding representation from python • Dec 4, 2020
Timing Vespa queries • Dec 2, 2020
Debug first iteration of BERT models • Nov 8, 2020
How to evaluate Vespa ranking functions from python • Nov 5, 2020
How to connect and interact with search applications from python • Oct 28, 2020
Sequential feature selection applied to ranking features • Jun 19, 2020
Reducing the number of initial features to select • Jun 11, 2020
Best subset selection of Vespa ranking features • May 27, 2020
Semantic text search with Vespa python API • May 15, 2020
Vespa submission to round 1 of TREC-COVID • May 8, 2020
Vespa
Fine-tuning a BERT model for search applications • Nov 25, 2020
Feed, get, update and delete Vespa data with pyvespa • Nov 6, 2020
video data
Send and retrieve encoded media to Vespa • Dec 3, 2021
Encode and decode images and videos with strings • Dec 1, 2021
Exploring the UCF 101 Action Dataset • Nov 17, 2021
Simple baseline for YouTube 8M video-level features with TensorFlow • Nov 12, 2021
Create TensorFlow Dataset from TFRecord files • Oct 8, 2021
video processing
Generate images from video with imageio • Oct 20, 2021
youtube 8m
Simple baseline for YouTube 8M video-level features with TensorFlow • Nov 12, 2021
Create TensorFlow Dataset from TFRecord files • Oct 8, 2021