Facebook Recruiting IV
The ‘Facebook Recruiting IV: Human or bot?’ competition just ended on Kaggle. For those unfamiliar with the competition, participants downloaded a table of a...
Posts by Tag
R
RandomForest
Facebook Recruiting IV
The ‘Facebook Recruiting IV: Human or bot?’ competition just ended on Kaggle. For those unfamiliar with the competition, participants downloaded a table of a...
audio
SHeaP: Self-Supervised Head Geometry Predictor Learned via 2D Gaussians
New paper SHeaP (ICCV 2025) is out: please see here !
Semi-Supervised Learning (and more): Kaggle Freesound Audio Tagging
An overview of semi-supervised learning and other techniques I applied to a recent Kaggle competition.
Detecting Music BPM using Neural Networks - Update
This post is a brief update to my previous post about using a neural network to detect the beats per minute (BPM) in short sections of audio.
Detecting Music BPM using Neural Networks
I have always wondered whether it would be possible to detect the tempo (or beats per minute, or BPM) of a piece of music using a neural network-based approa...
diffusion
Demystifying World Models: A Playable Diffusion Model
Building an interactive video diffusion model from scratch.
dimensionality-reduction
In Raw Numpy: t-SNE
This is the first post in the In Raw Numpy series. This series is an attempt to provide readers (and myself) with an understanding of some of the most freque...
Using Tensorboard Embeddings Visualiser with Numpy Arrays
Tensorboard’s embeddings visualiser is great. You can use it to visualise and explore any set of high dimensional vectors (say, the activations of a hidden l...
generative-models
Demystifying World Models: A Playable Diffusion Model
Building an interactive video diffusion model from scratch.
in-raw-numpy
In Raw Numpy: t-SNE
This is the first post in the In Raw Numpy series. This series is an attempt to provide readers (and myself) with an understanding of some of the most freque...
interactive
Demystifying World Models: A Playable Diffusion Model
Building an interactive video diffusion model from scratch.
kaggle
Semi-Supervised Learning (and more): Kaggle Freesound Audio Tagging
An overview of semi-supervised learning and other techniques I applied to a recent Kaggle competition.
Facebook Recruiting IV
The ‘Facebook Recruiting IV: Human or bot?’ competition just ended on Kaggle. For those unfamiliar with the competition, participants downloaded a table of a...
neural-networks
Demystifying World Models: A Playable Diffusion Model
Building an interactive video diffusion model from scratch.
SHeaP: Self-Supervised Head Geometry Predictor Learned via 2D Gaussians
New paper SHeaP (ICCV 2025) is out: please see here !
Semi-Supervised Learning (and more): Kaggle Freesound Audio Tagging
An overview of semi-supervised learning and other techniques I applied to a recent Kaggle competition.
Getting Champion Coordinates from the LoL Minimap using Deep Learning
Using a GAN and a ConvLSTM to go from minimap from to champion coordinates: This post was originally published on Medium.
Using Tensorboard Embeddings Visualiser with Numpy Arrays
Tensorboard’s embeddings visualiser is great. You can use it to visualise and explore any set of high dimensional vectors (say, the activations of a hidden l...
Adversarial Neural Cryptography in Theano
Last week I read Abadi and Andersen’s recent paper [1], Learning to Protect Communications with Adversarial Neural Cryptography. I thought the idea seemed pr...
Detecting Music BPM using Neural Networks - Update
This post is a brief update to my previous post about using a neural network to detect the beats per minute (BPM) in short sections of audio.
Detecting Music BPM using Neural Networks
I have always wondered whether it would be possible to detect the tempo (or beats per minute, or BPM) of a piece of music using a neural network-based approa...
numpy
In Raw Numpy: t-SNE
This is the first post in the In Raw Numpy series. This series is an attempt to provide readers (and myself) with an understanding of some of the most freque...
pandascore
Getting Champion Coordinates from the LoL Minimap using Deep Learning
Using a GAN and a ConvLSTM to go from minimap from to champion coordinates: This post was originally published on Medium.
publications
SHeaP: Self-Supervised Head Geometry Predictor Learned via 2D Gaussians
New paper SHeaP (ICCV 2025) is out: please see here !
python
Getting Champion Coordinates from the LoL Minimap using Deep Learning
Using a GAN and a ConvLSTM to go from minimap from to champion coordinates: This post was originally published on Medium.
In Raw Numpy: t-SNE
This is the first post in the In Raw Numpy series. This series is an attempt to provide readers (and myself) with an understanding of some of the most freque...
Using Tensorboard Embeddings Visualiser with Numpy Arrays
Tensorboard’s embeddings visualiser is great. You can use it to visualise and explore any set of high dimensional vectors (say, the activations of a hidden l...
Adversarial Neural Cryptography in Theano
Last week I read Abadi and Andersen’s recent paper [1], Learning to Protect Communications with Adversarial Neural Cryptography. I thought the idea seemed pr...
Detecting Music BPM using Neural Networks - Update
This post is a brief update to my previous post about using a neural network to detect the beats per minute (BPM) in short sections of audio.
Detecting Music BPM using Neural Networks
I have always wondered whether it would be possible to detect the tempo (or beats per minute, or BPM) of a piece of music using a neural network-based approa...
semi-supervised-learning
SHeaP: Self-Supervised Head Geometry Predictor Learned via 2D Gaussians
New paper SHeaP (ICCV 2025) is out: please see here !
Semi-Supervised Learning (and more): Kaggle Freesound Audio Tagging
An overview of semi-supervised learning and other techniques I applied to a recent Kaggle competition.
t-sne
In Raw Numpy: t-SNE
This is the first post in the In Raw Numpy series. This series is an attempt to provide readers (and myself) with an understanding of some of the most freque...
tensorflow
Using Tensorboard Embeddings Visualiser with Numpy Arrays
Tensorboard’s embeddings visualiser is great. You can use it to visualise and explore any set of high dimensional vectors (say, the activations of a hidden l...
theano
Adversarial Neural Cryptography in Theano
Last week I read Abadi and Andersen’s recent paper [1], Learning to Protect Communications with Adversarial Neural Cryptography. I thought the idea seemed pr...
video
Demystifying World Models: A Playable Diffusion Model
Building an interactive video diffusion model from scratch.