Stars
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
High-performance TensorFlow library for quantitative finance.
This is a dataset for fake news detection research
WordMoversEmbeddings(WME) is a simple code for generating the vector representation of sentence/document for text classification and clustering.
Interpretability and explainability of data and machine learning models
SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)
🦄 State-of-the-Art Conversational AI with Transfer Learning
Fit interpretable models. Explain blackbox machine learning.
Authentication Providers and UI components for Microsoft Graph 🦒
Real numbers, data science and chaos: How to fit any dataset with a single parameter
fklearn: Functional Machine Learning
Network inference by fusing data from diverse distributions
Tensorflow and Theano implementations of fast K-nearest neighbour search on GPU. ~3000x faster than sklearn KNeighborsClassifier!
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…
Generate embeddings from large-scale graph-structured data.
Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
Demonstration of how to use Kepler Mapper as backend.
Mapper Interactive is a customizable visualization framework for the analysis and visualization of high-dimensional point cloud data using the Mapper algorithm.
Code for the Kaggle Ensembling Guide Article on MLWave
Historical list of {Cobalt Strike,NanoHTTPD} servers
GPU Accelerated t-SNE for CUDA with Python bindings
Open source implementation of "Spreading Vectors for Similarity Search"
Best Practices on Recommendation Systems
Lectures for INFO8004 Advanced Machine Learning, ULiège