bayesquant Goto Github PK

ads1299

Arduino Library for the Texas Instruments ADS1299

advancedeast

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.

ai_law

all kinds of baseline models for long text classificaiton( text categorization)

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

annotated-transformer

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

attribute_charge

The source code of our COLING'18 paper "Few-Shot Charge Prediction with Discriminative Legal Attributes".

awesome-automl-papers

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

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

bidmach

CPU and GPU-accelerated Machine Learning Library

bidmat

A CPU and GPU-accelerated matrix library for data mining

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

blog

The BLOG programming language

chromium-latest-linux

Scripts to download and run the latest Linux build of Chromium.

cli

Try and use desktop software in your browser without downloading/installing anything.

convnet-metadata

Caffe definition files for the "Using Deep Learning to Predict Demographics from Mobile Phone Metadata" paper

d3graphtheory

:boom: Interactive and colorful :art: graph theory tutorials made using d3.js :zap:

dagre-d3

A D3-based renderer for Dagre

dc_tts

A TensorFlow Implementation of DC-TTS: yet another text-to-speech model

deepinterestnetwork

deepiv

Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

devilyuan

DevilYuan股票量化系统

difacto

Distributed Factorization Machines

dlrm

An implementation of a deep learning recommendation model (DLRM)

dsls_in_action

Code base for DSLs In Action (http://www.manning.com/ghosh)

dual-learning-algorithm-for-unbiased-learning-to-rank

This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to rank.

dureader

Baseline Systems of DuReader Dataset

east

A tensorflow implementation of EAST text detector

econml

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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

elasticsearch-learning-to-rank

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

fasttext

Library for fast text representation and classification.