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text_pdf

the-art-of-programming-by-july

Csdn 600万博客「结构之法算法之道」部分经典博文集锦：《程序员编程艺术 — 面试和算法心得》

timeseriesai

Practical Deep Learning for Time Series with fastai/ Pytorch

timeseriesgan

GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks

tinylisp

Lisp in 99 lines of C and how to write one yourself. Includes 20 Lisp primitives, garbage collection and REPL. Includes tail-call optimized versions for speed and reduced memory use.

tld

Algorithm for tracking of unknown objects in unconstrained video streams, by Zdenek Kalal

topical_word_embeddings

A demo code for topical word embedding

train_word2vec

treelstm.pytorch

Tree LSTM implementation in PyTorch

tutorials

This repository contains materials for demos, tutorials, and talks by Dato Inc.

unispim

华宇拼音输入法核心源码(source code of unispim)

unlikelihood_training

Neural Text Generation with Unlikelihood Training

vgpssm

Variational Gaussian Process State-Space Models

vpin_hft

vpyp

Pitman-Yor processes in python

wechat_robot

微信聊天机器人（个人账号，非订阅号）

wego

微信公众号开发框架

whereami

Uses WiFi signals :signal_strength: and machine learning to predict where you are

wmd-relax

word2vec_supervised

A supervised approach for word2vec

word2vecexample

An example application using Word2Vec. Given a list of words, it finds the one which isn't 'like' the others - a typical language understanding evaluation task.

word2vecpy

Python implementation of CBOW and skip-gram word vector models, and hierarchical softmax and negative sampling learning algorithms

worldmodels

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf

xtx-stock-market-price-forecast

Here, we will try prediction methods to see how best we can predict the market stock price as given in this challenge. Check out challenge.xtxmarkets.com for more information about this challenge

xtx_challenge

Models and programs developed as part of XTX Forecastin Challenge 2019

xtxforecastingchallenge

XTX Forecasting Challenge https://challenge.xtxmarkets.com/

yodaqa

A Question Answering system built on top of the Apache UIMA framework.