klen1n's Stars
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
creyesp/Awesome-recsys
Curated list of recommnedation system topics
YuanchenBei/Awesome-Cold-Start-Recommendation
A curated list of papers on cold-start recommendations.
alibaba/EasyRec
A framework for large scale recommendation algorithms.
otto-de/recsys-dataset
🛍 A real-world e-commerce dataset for session-based recommender systems research.
archersama/awesome-recommend-system-pretraining-papers
Paper List for Recommend-system PreTrained Models
jihoo-kim/awesome-RecSys
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
YuyangZhangFTD/awesome-RecSys-papers
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
recommenders-team/recommenders
Best Practices on Recommendation Systems
jiawei-chen/RecDebiasing
This repository collects debiasing methods for recommendation
alexyalunin/dotfiles
Heavily inspired by https://github.com/mathiasbynens/dotfiles
ashishpatel26/Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
JetBrains/Exposed
Kotlin SQL Framework
nichtdax/awesome-totally-open-chatgpt
A list of totally open alternatives to ChatGPT
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
JerryLead/SparkInternals
Notes talking about the design and implementation of Apache Spark
google/go-cloud
The Go Cloud Development Kit (Go CDK): A library and tools for open cloud development in Go.
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
arezooSarvi/sigir2020-eComWorkshop-LTM-for-product-search
implementation for comparison of supervised Learning to Match methods for product search
Textualize/rich
Rich is a Python library for rich text and beautiful formatting in the terminal.
facebook/zstd
Zstandard - Fast real-time compression algorithm
google/snappy
A fast compressor/decompressor
stanfordmlgroup/ngboost
Natural Gradient Boosting for Probabilistic Prediction
cchen156/Learning-to-See-in-the-Dark
Learning to See in the Dark. CVPR 2018
firmai/deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
aaronjanse/dns-over-wikipedia
Redirect `.idk` domains using Wikipedia
AnswerDotAI/nbdev
Create delightful software with Jupyter Notebooks
iterative/dvc
🦉 Data Versioning and ML Experiments
mbrt/gmailctl
Declarative configuration for Gmail filters