- 850k cars in 24 hours - How to make a dataset fast
- Iterating through Siamese network designs - Shortcuts for iterating models
- Better software by using precommit hooks - Perform software validation steps in your github environment
- Datascience and docker - How Lab41 uses docker in its datascience stack
- Anything2Vec - Embed any vector, explaining word2vec with matrices
- Batch Normalization - Batch normalization; explaining how it works
- Sampling and Deep Neural Networks - A look at sampling methods when you want to use wide and deep neural networks
- Matching Cars with Siamese Networks - Lessons learned from using a Siamese Network to match vehicles
- Introducing source-contrastive estimation - Learning deep embeddings for audio source separation
- Object Localization - Object Localization without Deep Learning
This repository was archived by the owner on Aug 18, 2020. It is now read-only.