Stars
A scikit-learn compatible neural network library that wraps PyTorch
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
An index of algorithms for learning causality with data
LaTeX class file for writing dissertations at UC San Diego
An implementation of a deep learning recommendation model (DLRM)
XLNet: Generalized Autoregressive Pretraining for Language Understanding
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source …
A Python implementation of LightFM, a hybrid recommendation algorithm.
OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms
A collection of AWESOME things about domian adaptation
Large datasets for conversational AI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
A curated list of pretrained sentence and word embedding models
An open-source NLP research library, built on PyTorch.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
TensorFlow code and pre-trained models for BERT
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
Best Practices on Recommendation Systems
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
All Algorithms implemented in Python
Models, data loaders and abstractions for language processing, powered by PyTorch
Open Source Neural Machine Translation and (Large) Language Models in PyTorch