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Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
KDD Cup 2022 spatial dynamic wind power forecast challenge solution.
A Library for Advanced Deep Time Series Models.
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Multivariate Time Series Transformer, public version
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Research on Tabular Deep Learning: Papers & Packages
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
The official repository for our programming kitchen which consists of 50+ delicious programming recipes having all the interesting ingredients ranging from dynamic programming, graph theory, linked…
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Python-based framework for building and evaluating session-based and session-aware recommender systems.
Benchmarking of Session-based Recommendation Approaches
Music recommendation through applied word2vec word embeddings
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Ne…
Notes and links from the book club meetings