Pinned Repositories
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
shalshamsi's Repositories
shalshamsi/Abstention-OoD
Supplementary Python code for our Out-Of-Distribution paper
shalshamsi/agents
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
shalshamsi/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
shalshamsi/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
shalshamsi/coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
shalshamsi/Darts_TCN_RNN
time series forecasting with TCN and RNN neural networks in Darts
shalshamsi/datascience
Repository to maintain all my clutter
shalshamsi/DeepEEG
Deep Learning with Tensor Flow for EEG MNE Epoch Objects
shalshamsi/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
shalshamsi/Generative_distance-based_OOD
A Deep Generative Distance-Based Classifier for Out-of-Domain Detection with Mahalanobis Space
shalshamsi/gym
A toolkit for developing and comparing reinforcement learning algorithms.
shalshamsi/kbfgs_neurips2020_public
shalshamsi/minirocket
MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification
shalshamsi/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
shalshamsi/odin
A simple and effective method for detecting out-of-distribution images in neural networks.
shalshamsi/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
shalshamsi/outlier-exposure
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
shalshamsi/P300-CNNT
1D Convolutional Neural Networks for P300 detection from EEG signals
shalshamsi/perfprof.py
Performance profiles in Python
shalshamsi/pytorch
shalshamsi/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
shalshamsi/reinforcement-learning-implementation
Reinforcement Learning examples implementation and explanation
shalshamsi/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
shalshamsi/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
shalshamsi/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
shalshamsi/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
shalshamsi/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
shalshamsi/tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
shalshamsi/tweeteval
Repository for TweetEval
shalshamsi/vision
Datasets, Transforms and Models specific to Computer Vision