lovewenlee

lovewenlee's Stars

• crownpku/Awesome-Chinese-NLP

  A curated list of resources for Chinese NLP 中文自然语言处理相关资料

  7.8k1.7k

• nlp-with-transformers/notebooks

  Jupyter notebooks for the Natural Language Processing with Transformers book

  Language:Jupyter Notebook3.8k1.2k

• rbhatia46/Data-Science-Interview-Resources

  A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

  2.7k645

• khangich/machine-learning-interview

  Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

  9k1.5k

• LAION-AI/Open-Assistant

  OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

  Language:Python36.9k3.2k

• hpcaitech/ColossalAI

  Making large AI models cheaper, faster and more accessible

  Language:Python38.6k4.3k

• openai/consistency_models

  Official repo for consistency models.

  Language:Python6.1k409

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python166k44.1k

• ikatsov/tensor-house

  A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

  Language:Jupyter Notebook1.2k460

• 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:JavaScript54.2k15.8k

• oxford-cs-deepnlp-2017/lectures

  Oxford Deep NLP 2017 course

  15.6k3.6k

• BinRoot/TensorFlow-Book

  Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

  Language:Jupyter Notebook4.5k1.2k

• gaborfodor/MLSP_2013

  Winning Model Source Code

  Language:Python4631

• KirkHadley/icml2015_papers

  Links to ICML 2015 papers available on arxiv

  Language:Python14030

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.4k25.3k

• tund/kaggle-galaxy-zoo

  Language:Python117

• emanuele/kaggle_pbr

  My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

  Language:Python440206

• codebender/kaggle-otto-group-product-classification-challenge

  Otto Group Product Classification Challenge

  Language:R77

• justmarkham/kaggle-allstate

  Allstate Purchase Prediction Challenge on Kaggle

  Language:R5881

• ycjuan/kaggle-avazu

  Language:Python448209

• benanne/kaggle-ndsb

  Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)

  Language:Python566199

• ycjuan/kaggle-2014-criteo

  Language:C++1.3k625

• agconti/kaggle-titanic

  A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

  Language:Jupyter Notebook869674

• johnmyleswhite/ML_for_Hackers

  Code accompanying the book "Machine Learning for Hackers"

  Language:R3.7k2.2k

• carljv/Will_it_Python

  Translating R Data Analyses to Python

  Language:C282131