Variational Inference

[2021.02.08] » Estimating the gradient of the ELBO
[2021.01.25] » Evidence, KL-divergence, and ELBO

Few-shot Learning (video course)

Lesson 2.5 » Beyond MAML with MAML++, instability in MAML, multi-step loss
Lesson 2.4 » MAML: Model-Agnostic Meta-Learning, step-by-step algorithm code
Lesson 2.3 » Relation networks: relating objects, intuition, algorithm, code
Lesson 2.2 » Prototypical networks: intuition, algorithm, pytorch code
Lesson 2.1 » Transfer learning: setup, Baseline, Baseline++, pros and cons
Lesson 2.0 » Literature review: MAML, ProtoNets, RelationNets, etc
Lesson 1.1 » Most common datasets: Omniglot, CUB, mini-ImageNet
Lesson 1.0 » Introduction, definition of the problem, terminology

Bayesian Methods

[2020.07.31] » An overview of Gaussian Mixture Models
[2019.11.18] » Climbing the Bayes stairs

Reinforcement Learning

[2018.12.28] » Dissecting Reinforcement Learning-Part.8
[2017.12.11] » Dissecting Reinforcement Learning-Part.7
[2017.08.14] » Dissecting Reinforcement Learning-Part.6
[2017.03.14] » Dissecting Reinforcement Learning-Part.5
[2017.02.11] » Dissecting Reinforcement Learning-Part.4
[2017.01.29] » Dissecting Reinforcement Learning-Part.3
[2017.01.15] » Dissecting Reinforcement Learning-Part.2
[2016.12.09] » Dissecting Reinforcement Learning-Part.1

Computer Vision

[2016.12.01] » Playing the Google Chrome's dinosaur game using hand-tracking
[2016.11.12] » The Simplest Classifier: Histogram Comparison

Open Source Projects

Deepgaze » Computer Vision library for Human-Computer interaction