hustxujinkang

hustxujinkang

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Company:Bytedance.Inc

Location:Beijing

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hustxujinkang's starred repositories

distributed-consensus-reading-list

A list of papers about distributed consensus.

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Awesome-LLMOps

An awesome & curated list of best LLMOps tools for developers

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text2vec

text2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型,开箱即用。

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gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

Language:PythonLicense:MITStargazers:50476Issues:0Issues:0

pdfGPT

PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!

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patterns-of-distributed-systems

《Patterns of Distributed Systems》中文版

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NLP-Interview-Notes

该仓库主要记录 NLP 算法工程师相关的面试题

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rqlite

The lightweight, distributed relational database built on SQLite.

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unix-history-repo

Continuous Unix commit history from 1970 until today

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VL-BERT

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

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modAL

A modular active learning framework for Python

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mind

2020 MIND news recomendation first place solution

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Amazing-Feature-Engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

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AI-System

System for AI Education Resource.

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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CTR

CTR模型代码和学习笔记总结

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text_classification

all kinds of text classification models and more with deep learning

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leetcode_101

LeetCode 101:和你一起你轻松刷题(C++)

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LeetCode-Go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

Language:GoLicense:MITStargazers:32001Issues:0Issues:0

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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CPython-Internals

Dive into CPython internals, trying to illustrate every detail of CPython implementation

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deep-learning-from-scratch-2

『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)

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MiNLP

XiaoMi Natural Language Processing Toolkits

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MatrixSlow

A simple deep learning framework in pure python for purpose of learning in DL

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RecBole

A unified, comprehensive and efficient recommendation library

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character-level-cnn

Keras implementation of Character-level CNN for Text Classification

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Crepe

Character-level Convolutional Networks for Text Classification

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ngram-language-model

Python implementation of an N-gram language model with Laplace smoothing and sentence generation.

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bilm-tf

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

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pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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