Machine Learning Gallery
Developed by Akhil Devarashetti
Deep Learning Engineer | akhil.ai
This is a master project of some experiments with Neural Networks. Every project here is runnable, visualized and explained clearly.
Take a tourThe Basics
Start your Deep Learning journey with simple problems
Computer Vision
Visualize and learn Computer Vision models from basic classifiers to complex vision problems
Reinforcement Learning
Learn how models are trained to play games from basic to state-of-the-art methods
- Policy Gradients
- Deep Q
- MCTS
- AlphaZero
- MuZero
Unpublished Papers
DisCease: Evolving Social Distancing And Herd Immunity
Abstract: I tried to create a model that simulates the spread of a disease that does not have a medicine. I observed the effects of varying parameters, then introduced a concept of deflections which mimic social distancing and social gatherings. I finally made an attempt to evolve these deflections based on a performance metric.
A Brief Survey of Model-Free Deep Reinforcement Learning
Abstract: Deep Reinforcement Learning is a branch of machine learning techniques that is used to find out the best possible path given a situation. It is an interesting domain of algorithms ranging from basic multi-arm bandit problems to playing complex games like Dota 2. This paper surveys the research work on model-free approaches to deep reinforcement learning like Deep Q Learning, Policy Gradients, Actor-Critic methods and other recent advancements.
More to come
Computer Vision
Find All Numbers
Dense Cap
MNIST GAN
Attention, Attention!
Style, Please
Style, Please V2
Natural Language Processing
What Genre - Attention
Segment Highlighter
Action Assistant
Next Sentence
Reinforcement Learning
Dodger
Unsupervised Learning
AutoEncoder
Self-Organizing Feature Maps
Memorize Please
Miscellaneous
Spiking Neurons
MNIST Detection Dataset