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Human-AI Deferral Evaluation Benchmark (Learning to Defer) AISTATS23
Google ProjectionNet Implementation in Tensorflow
Fast Differentiable Sorting and Ranking
catch22: CAnonical Time-series CHaracteristics
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Embed strange attractors using a regularizer for autoencoders
Adversarial Sparse Transformer for Time Series Forecasting
Taxi fare prediction using tensorflow probability
A package for the sparse identification of nonlinear dynamical systems from data
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Google Research
An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
zanibbi / ScanSSD
Forked from MaliParag/ScanSSDScanning Single Shot Detector for Math in Document Images
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
skweak: A software toolkit for weak supervision applied to NLP tasks
SpikeX - SpaCy Pipes for Knowledge Extraction
Unsupervised text tokenizer for Neural Network-based text generation.
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Code for the Shortformer model, from the ACL 2021 paper by Ofir Press, Noah A. Smith and Mike Lewis.
SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
A python tool for evaluating the quality of sentence embeddings.
Active Acquisition for fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.