shalshamsi Goto Github PK

abstention-ood

Supplementary Python code for our Out-Of-Distribution paper

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

bci_practice

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

coursera_capstone

darts_tcn_rnn

time series forecasting with TCN and RNN neural networks in Darts

datascience

Repository to maintain all my clutter

deep-learning-specialization-coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

deep_mahalanobis_detector

Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

deepeeg

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

densenet.pytorch

A PyTorch implementation of DenseNet.

dl-eeg-review

Supplementary material for systematic literature review on deep learning and EEG.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

eeg

Python toolbox for EEG analysis

eeg-datasets

A list of all public EEG-datasets

generative_distance-based_ood

A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space

gym

A toolkit for developing and comparing reinforcement learning algorithms.

improving-sepsis-treatment-strategies

This is the repository for paper "Improving Sepsis Treatment Strategies using Deep Reinforcement Learning and Mixture-of-Experts"

kbfgs_neurips2020_public

minirocket

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

od-test-master

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

ood_detecion_based_on_dml

For SMA2020 Paper (Out-of-Distribution Detection Based on Distance Metric Learning)

openai-reinforcement-learning-with-custom-environment

This code accompanies the YouTube tutorial where we build a custom OpenAI environment for reinforcement learning.

optml_course

EPFL Course - Optimization for Machine Learning - CS-439

outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)