fnlsdfmnlksdf's Stars
manujosephv/pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
chriotte/wearable_stress_classification
Stress classifier with AutoML
sunlabuiuc/PyHealth
A Deep Learning Python Toolkit for Healthcare Applications.
ycq091044/BIOT
NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
lucidrains/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
shkurtagashi/EDArtifact
abhimanyudubey/dlcity
Code for the ECCV 2016 paper "Deep Learning the City: Quantifying Urban Perception At A Global Scale"
UDST/urbansim
Platform for building statistical models of cities and regions
gama-platform/gama.old
Main repository for developing the 1.x versions of GAMA
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
redevaaa/Transformer-for-EEG
modify self-attention model for EEG signal as input and image embedding layer as output
eeyhsong/EEG-Transformer
i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.
frutik/awesome-search
Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness
tebesu/NeuralCitationNetwork
Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
houchenyu/L2R
A Python version of RankNet, LambdaRank and LambdaMart
farizrahman4u/recurrentshop
Framework for building complex recurrent neural networks with Keras
farizrahman4u/seq2seq
Sequence to Sequence Learning with Keras
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
alex-berard/seq2seq
Attention-based sequence to sequence learning
ZeweiChu/PyTorch-Course
JULYEDU PyTorch Course
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
haowei01/pytorch-examples
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
jma127/pyltr
Python learning to rank (LTR) toolkit
wildltr/ptranking
Learning to Rank in PyTorch
jiangnanboy/learning_to_rank
利用lightgbm做(learning to rank)排序学习,包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.
MITMediaLabAffectiveComputing/eda-explorer
Scripts to detect artifacts in EDA data
MPBA/pyphysio
HendrikStrobelt/LSTMVis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
yangwohenmai/LSTM
基于LSTM的时间序列预测研究