jintw's repositories

100-Days-Of-ML-Code

100 Days of ML Coding

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Ad-papers

Papers on Computational Advertising

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adaptive-softmax

Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/1609.04309)

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awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

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awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

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catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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cvxpy

A Python-embedded modeling language for convex optimization problems.

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deeplearning_ai_books

deeplearning_ai_books

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dlbook_notation

LaTeX files for the Deep Learning book notation

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f-lm

Language Modeling

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fairseq-py

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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finch

Deep NLP in TensorFlow r1.6

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gluon-tutorials-zh

通过MXNet/Gluon来动手学习深度学习

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GNNPapers

Must-read papers on graph neural networks (GNN)

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Good-Papers

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

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hosts

镜像:https://coding.net/u/scaffrey/p/hosts/git

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Kaggle-Ensemble-Guide

Code for the Kaggle Ensembling Guide Article on MLWave

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master_thesis

Code and other stuff for my master thesis

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pkuseg-python

python版本:高准确度中文分词工具,简单易用,跟现有开源工具相比大幅提高了分词的准确率。

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ranking

Learning to Rank in TensorFlow

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rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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tensorflow-DeepFM

Tensorflow implementation of DeepFM for CTR prediction.

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tensorflow-XNN

4th Place Solution for Mercari Price Suggestion Challenge on Kaggle (https://www.kaggle.com/c/mercari-price-suggestion-challenge)

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tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

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TikZ

Complete collection of my PGF/TikZ figures.

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tikz-network

A tool to visualize complex networks in LaTeX

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