helloxcq

helloxcq's Stars

• scutan90/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，50余万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55.1k2.2k18915.9k

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.5k2.1k557.3k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.6k2k264.5k

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.5k388311.7k

• brightmart/text_classification

  all kinds of text classification models and more with deep learning

  Language:Python7.9k2991242.6k

• deepset-ai/FARM

  :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

  Language:Python1.7k55406247

• HVML/PurC

  The prime HVML interpreter for C Language.

  Language:C1.1k123554

• timsainb/tensorflow2-generative-models

  Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

  Language:Jupyter Notebook9973210187

• iwxf/free-v2ray

  Language:HTML624556102

• JianWenJun/MLDemo

  This repo is all the machine learning related project codes and their corresponding blog posts at the graduate level.

  Language:Python32073134

• MicroEngine/DevilYuan

  DevilYuan股票量化系统

  Language:Python28380709

• Yishun99/KB-QA

  基于知识库的中文问答系统（biLSTM）

  Language:Python245101281

• hongxin/csmath-2019

  This mathematics course is taught for the first year Ph.D. students of computer science and related areas @ZJU

  13115319

• PegasusWang/collection_python

  Language:JavaScript1237178

• ranjiewwen/Algorithm-of-Beauty

  《算法之美——隐匿在数据结构背后的语言》，全文目录、“45个算法”目录、“22个经典问题目录”。记录学习代码实现，参考：http://www.cnblogs.com/ranjiewen/p/6082573.html

  Language:C++23416

• liu-nlper/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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