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Nanda Lab
- Ottawa
- in/amin-abbasi-shahkoo
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Code and Slides
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
A collection of dnn test input prioritizers often used as benchmarks in recent literature.
Tools for combinatorial testing developed by the NIST ACTS project
Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020
Deep Learning models (CNN) trained using Keras
Domain-Adversarial Neural Network in Tensorflow
Implementing COP-Kmeans and PC-Kmeans
IQFeed.CSharpApiClient is fastest and the most well-designed C# DTN IQFeed socket API connector available
Using transformers to predict next word and predict <mask> word
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
A toolkit for reproducible reinforcement learning research.
Tutorial on scikit-learn and IPython for parallel machine learning
I am implementing a lot of reinforcement learning and imitation learning algorithms since I'm sick of reading about them but not really understanding them.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
An implementation of a sequence to sequence neural network using an encoder-decoder
Theano implementation of Sequence-to-Sequence Autoencoder
Evolutionary Algorithm using Python, 莫烦Python 中文AI教学
Flappy Bird AI using Cartesian Genetic Programming (Evolutionary Computation)
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
A tearable cloth simulation using vertlet integration.
Hindsight Experience Replay - Bit flipping experiment in Tensorflow