gerrylin

gerrylin's Stars

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.5k7551.3k8k

• facebookresearch/fairseq

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

  Language:Python30.7k4254.2k6.4k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python30.4k6251798.1k

• mli/paper-reading

  深度学习经典、新论文逐段精读

  27.5k73202.5k

• PaddlePaddle/Paddle

  PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

  Language:C++22.3k71618.5k5.6k

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.7k8641556.1k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.4k2768733.1k

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.5k7546283.6k

• instillai/TensorFlow-Course

  :satellite: Simple and ready-to-use tutorials for TensorFlow

  Language:Jupyter Notebook16.4k806123.2k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.8k461503.8k

• zziz/pwc

  This repository is no longer maintained.

  15.4k1.2k242.5k

• greyireland/algorithm-pattern

  算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

  Language:Go15.3k355332.6k

• hindupuravinash/the-gan-zoo

  A list of all named GANs!

  Language:Python14.4k568352.6k

• datawhalechina/leedl-tutorial

  《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

  Language:Jupyter Notebook14k2831032.9k

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.5k3393403.8k

• jikexueyuanwiki/tensorflow-zh

  谷歌全新开源人工智能系统TensorFlow官方文档中文版

  Language:TeX12.4k1.3k484.2k

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.6k18717737

• vahidk/EffectiveTensorflow

  TensorFlow tutorials and best practices.

  8.6k34418906

• deeplearning-ai/machine-learning-yearning-cn

  Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

  Language:CSS7.8k382111.5k

• shenweichen/DeepCTR

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

  Language:Python7.6k1783702.2k

• yuanguangxin/LeetCode

  LeetCode刷题记录与面试整理

  Language:Java7.4k19961.9k

• Kyubyong/transformer

  A TensorFlow Implementation of the Transformer: Attention Is All You Need

  Language:Python4.3k1101601.3k

• princeton-nlp/SimCSE

  [EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

  Language:Python3.5k29274519

• tensorflow/ranking

  Learning to Rank in TensorFlow

  Language:Python2.7k97319476

• shenweichen/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.

  Language:Python2.2k5075534

• ZiyaoGeng/RecLearn

  Recommender Learning with Tensorflow2.x

  Language:Python1.9k3582493

• brightmart/bert_language_understanding

  Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

  Language:Python9604921211

• kohpangwei/influence-release

  Language:Jupyter Notebook7791822177

• shliang0603/Awesome-DeepLearning-500FAQ

  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，50余万字。声明：所有内容来自（仅供学习）：https://github.com/scutan90/DeepLearning-500-questions

  Language:HTML60295110

• DSXiangLi/CTR

  CTR模型代码和学习笔记总结

  Language:Python38091194