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adaptive-regularization-neural-network

[NeurIPS'19] [PyTorch] Adaptive Regularization in NN

annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

arm-net

A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recommendation, CRT prediction, healthcare analytics, and etc.

autolearn

AutoLearn, a domain independent regression-based feature learning algorithm.

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

bert-ner

Pytorch-Named-Entity-Recognition-with-BERT

bertsum

Code for paper Fine-tune BERT for Extractive Summarization

cleanml

A Benchmark for Joint Data Cleaning and Machine Learning

falcon

fedml

FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).

forkbase

An Efficient Storage Engine for Blockchain and Forkable Applications

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gmm_prior

health-image

incubator-singa

Mirror of Apache Singa (Incubating)

kafka-site

Mirror of Apache Kafka site

l0_regularization

Learning Sparse Neural Networks through L0 regularization

lenet-5

PyTorch implementation of LeNet-5 with live visualization

lenet5-mnist-pytorch

The simplest implementation of LeNet5 with mnist in PyTorch. Accuracy: ~99%

malsar

Multi-task learning via Structural Regularization

medical-image

microbat

A feedback-based debugger for interactively recommending suspicious step in buggy program execution.

mimic3-literatures-phenotyping

The experiment of model : join the result of LDA with the MLP

mlflow

Open source platform for the machine learning lifecycle

modeldb

Open Source ML Model Versioning, Metadata, and Experiment Management

modelslicing

Model Slicing for Analytics with Elastic Inference Cost and Resource Constraints

ner-bert

BERT-NER (nert-bert) with google bert https://github.com/google-research.

nsfc-application-template-latex

国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）

p-reg

Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)

presumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders