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2018-java-interview icon 2018-java-interview

经历BATJ面试后总结的【高级Java后台开发面试指南】,纯净干货无废话,针对高频面试点

agnai icon agnai

AI Agnostic (Multi-user and Multi-bot) Chat with Personalised Characters. Designed with scale in mind.

algo icon algo

数据结构和算法必知必会的50个代码实现

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-chinese-llm icon awesome-chinese-llm

整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。

baby-llama2-chinese icon baby-llama2-chinese

用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库;24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-as-service icon bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bt-btt icon bt-btt

磁力網站U3C3介紹以及域名更新

chatglm-6b icon chatglm-6b

ChatGLM-6B:开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

colossalai icon colossalai

Making large AI models cheaper, faster and more accessible

datachad icon datachad

Ask questions about any data source by leveraging langchains

deepctr icon deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models for search and recommendation.

deepke icon deepke

An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepmatch icon deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

easyjob icon easyjob

:fire:2018互联网求职面试知识复习

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