kimfalk's Stars
keras-team/keras
Deep Learning for humans
explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
jupyter/jupyter
Jupyter metapackage for installation, docs and chat
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
apple/tensorflow_macos
TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
ddangelov/Top2Vec
Top2Vec learns jointly embedded topic, document and word vectors.
DataTalksClub/llm-zoomcamp
LLM Zoomcamp - a free online course about building a Q&A system
ChenglongChen/tensorflow-DeepFM
Tensorflow implementation of DeepFM for CTR prediction.
NVIDIA-Merlin/NVTabular
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
practical-recommender-systems/moviegeek
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
google-research/recsim
A Configurable Recommender Systems Simulation Platform
totalgood/nlpia
Examples and libraries for "Natural Language Processing in Action" book
sfujim/BCQ
Author's PyTorch implementation of BCQ for continuous and discrete actions
statisticianinstilettos/recmetrics
A library of metrics for evaluating recommender systems
dawenl/vae_cf
Variational autoencoders for collaborative filtering
mquad/sars_tutorial
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
sisinflab/elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
clulab/nlp-reading-group
NLP reading group at the University of Arizona
guyulongcs/Awesome-Deep-Reinforcement-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.
alexandrainst/danlp
DaNLP is a repository for Natural Language Processing resources for the Danish Language.
DavisTrey/ExperimentationResources
A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platforms
jeffreyksmithjr/reactive-machine-learning-systems
Code from the book Machine Learning Systems
angelabassa/data-science-competency-matrix
sorenlind/lemmy
🤘Lemmy is a lemmatizer for Danish 🇩🇰 and Swedish 🇸🇪
mkurovski/multi_channel_bpr
Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
zkid18/DRL4Recsys
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems