Lists (1)
Stars
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categoric…
A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry thr…
Graphical Java application for managing BibTeX and BibLaTeX (.bib) databases
Access a database of word frequencies, in various natural languages.
Accurately generate all possible forms of an English word e.g "election" --> "elect", "electoral", "electorate" etc.
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.
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
Paper List for Style Transfer in Text
Visualize and compare datasets, target values and associations, with one line of code.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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…
Uplift modeling and causal inference with machine learning algorithms
Fast genome and metagenome distance estimation using MinHash
Research works on different versions of IntentGC and several state-of-the-art algorithms on public amazon data
An easy-to-use federated learning platform
Top2Vec learns jointly embedded topic, document and word vectors.
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接