List: Offline 10/29 | Curated by Connor Shorten

Oct 29, 2022
22 stories
Offline 10/29
In
data from the trenches
by
Lina Faik
Graph Neural Networks: Link Prediction (Part II)When It Comes to Forecasting Connections Within a Network
Jul 7, 2022
1
Jul 7, 2022
1
In
TDS Archive
by
Tiago Toledo Jr.
How to Create a Graph Neural Network in PythonCreating a GNN with Pytorch Geometric and OGB
Jul 5, 2022
Jul 5, 2022
In
TDS Archive
by
Peggy Chang
Product Quantization for Similarity SearchHow to compress and fit a humongous set of vectors in memory for similarity search with asymmetric distance computation (ADC)
May 9, 2022
5
May 9, 2022
5
Elena K.
Why you should be careful using FAISSFAISS (Facebook’s library for similarity search) is pretty well known library from Facebook for similarity search for very large datasets…
Jul 20, 2022
1
Jul 20, 2022
1
Adrien Biarnes
Building a multi-stage recommendation system (part 2.1)Heavy ranking model strategy and design — Multi-gate Mixture-of-Experts
Sep 27, 2022
Sep 27, 2022
In
TDS Archive
by
Tim Schopf
Unsupervised Keyphrase Extraction with PatternRankUsing pretrained transformer language models and part of speech for state-of-the-art keyphrase extraction
Oct 19, 2022
3
Oct 19, 2022
3
Renu Khandelwal
Graph Neural Networks: A Deep Neural Network for GraphsExplore different Graph Neural Networks (GNN): GCN, GraphSAGE, and GAT
Jun 28, 2022
Jun 28, 2022
Zahra Ahmad
Build News Recommendation Model Using Python, BERT and FAISSIn this story, I will show how to build news recommendation model based on topic, we will use Microsoft News Dataset (MIND) for…
Jun 9, 2022
1
Jun 9, 2022
1
In
TDS Archive
by
Tomonori Masui
Graph Neural Networks with PyG on Node Classification, Link Prediction, and Anomaly DetectionPytorch Geometric Implementations on major graph problems
Oct 6, 2022
3
Oct 6, 2022
3
FunCorp
Practical Guide to Create a Two-Layered Recommendation SystemA developer’s perspective (MLOps inside)
Jun 8, 2022
Jun 8, 2022
In
Pinterest Engineering Blog
by
Pinterest Engineering
Query Rewards: Building a Recommendation Feedback Loop During Query SelectionBella Huang | Software Engineer, Home Candidate Generation; Raymond Hsu | Engineer Manager, Home Candidate Generation; Dylan Wang |…
Oct 26, 2022
Oct 26, 2022
Renu Khandelwal
Graph Representational LearningMap Nodes or Graphs to a low-dimensional vector space
Jun 14, 2022
1
Jun 14, 2022
1
Shivansh Sethi
Knowledge Graph Attention Network for RecommendationBy Arusarka Bose, Kushal Natani, and Shivansh Sethi
Oct 28, 2022
Oct 28, 2022
In
TDS Archive
by
Alberto Romero
ACT-1: How Adept Is Building the Future of AI with Action TransformersThe future of AI is digital and physical agents that can act in the world guided by human commands.
Sep 21, 2022
2
Sep 21, 2022
2
Cerebrium
SetFit outperforms GPT-3 while being 1600x smallerEveryone is very familiar with the current hype around Large Language Models (LLM) such as GPT-3 and Image Generation models such as DALL-E…
Oct 24, 2022
Oct 24, 2022
In
TDS Archive
by
Antons Tocilins-Ruberts
Transformers for Tabular Data: TabTransformer Deep DiveMaking sense out of TabTransformer and learning to apply it in TensorFlow
Sep 13, 2022
6
Sep 13, 2022
6
In
NVIDIA Merlin
by
Radek Osmulski
Scale faster with less code using Two Tower with Merlinby Radek Osmulski, Benedikt Schifferer, Ronay Ak and Gabriel Moreira
Jun 21, 2022
3
Jun 21, 2022
3
Zachariah Zhang
Efficient Extractive Question Answering on CPU using QUIPTLDR — Extractive question answering is an important task for providing a good user experience in many applications. The popular…
Oct 24, 2022
Oct 24, 2022
In
TDS Archive
by
James Scott Cardinal
Similarity Measures and Graph Adjacency with SetsData Science in Archaeology, Part II
Oct 28, 2022
Oct 28, 2022
In
vespa
by
Jo Kristian Bergum
Building Billion-Scale Vector Search — part twoThis blog is the second post in a series on building a billion-scale vector search using Vespa. The series covers the cost and serving…
Oct 27, 2022
Oct 27, 2022