Jax's repositories

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Ai-Learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

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awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

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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。

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Deep-Learning-with-TensorFlow-book

深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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eat_tensorflow2_in_30_days

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

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euler

A distributed graph deep learning framework.

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GBDT_Simple_Tutorial

python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

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gcn

Implementation of Graph Convolutional Networks in TensorFlow

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GraphNeuralNetwork

《深入浅出图神经网络:GNN原理解析》配套代码

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jpmml-evaluator

Java Evaluator API for PMML

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jpmml-xgboost

Java library and command-line application for converting XGBoost models to PMML

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keras-docs-zh

Chinese (zh-cn) translation of the Keras documentation.

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LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)

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Lhy_Machine_Learning

李宏毅2021春季机器学习课程课件及作业

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LintCode

Java Solutions to problems on LintCode/LeetCode

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Neural-Networks-with-Keras-Cookbook

Neural Networks with Keras Cookbook, published by Packt

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nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

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NLP_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力

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nlp_tutorial

NLP超强入门指南,包括各任务sota模型汇总(文本分类、文本匹配、序列标注、文本生成、语言模型),以及代码、技巧

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RecBole

A unified, comprehensive and efficient recommendation library

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SparrowRecSys

A Deep Learning Recommender System

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STGCN_IJCAI-18

Spatio-Temporal Graph Convolutional Networks

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TakeHomeDataChallenges

My solution to the book <A collection of Data Science Take-home Challenges>

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Tech_Aarticle

深度学习模型在各大公司实战落地细节解读:主要是通过阅读各种实战文章,梳理模型落地的工程细节,涉及到搜索/推荐/自然语言处理。

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TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

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tensorflow-in-depth

《深入理解TensorFlow》项目代码与样章

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tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

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x-deeplearning

An industrial deep learning framework for high-dimension sparse data

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