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stable-diffusion-webui-colabby camenduru
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deepmind-researchby deepmind
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python-machine-learning-bookby rasbt
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The "Python Machine Learning (1st edition)" book code repository and info resource
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DeepLearningExamplesby NVIDIA
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mml-book.github.ioby mml-book
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License: No License (No License)Companion webpage to the book "Mathematics For Machine Learning"
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python3-cookbookby yidao620c
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Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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prettymapsby marceloprates
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A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
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numerical-linear-algebraby fastai
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License: No License (No License)Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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Grounded-Segment-Anythingby IDEA-Research
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Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
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The-Complete-FAANG-Preparationby AkashSingh3031
Jupyter Notebook 9116 Version:Current License: Permissive (MIT)
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
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pandas_exercisesby guipsamora
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Practice your pandas skills!
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Best Practices, code samples, and documentation for Computer Vision.
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machine-learning-for-tradingby stefan-jansen
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License: No License (No License)Code for Machine Learning for Algorithmic Trading, 2nd edition.
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data science on data without acquiring a copy
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YSDA course in Natural Language Processing
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Create HTML profiling reports from pandas DataFrame objects
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Jupyter Notebook 8487 Version:Current License: Permissive (Apache-2.0)
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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Neural Networks: Zero to Hero
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Interview = 简历指南 + 算法题 + 八股文 + 源码分析
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Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
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leedl-tutorialby datawhalechina
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《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
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c9-python-getting-startedby microsoft
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Sample code for Channel 9 Python for Beginners course
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tensorflow2_tutorials_chineseby czy36mengfei
Jupyter Notebook 7619 Version:Current License: No License (No License)
License: No License (No License)tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
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Build your neural network easy and fast, 莫烦Python中文教学
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Data-Science-Notesby fengdu78
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License: No License (No License)数据科学的笔记以及资料搜集
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:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
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FinRL: Financial Reinforcement Learning. 🔥
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deep-image-priorby DmitryUlyanov
Jupyter Notebook 7473 Version:Current License: Proprietary (Proprietary)
Image restoration with neural networks but without learning.
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machine-learning-notesby roboticcam
Jupyter Notebook 7465 Version:Current License: No License (No License)
License: No License (No License)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
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Automatic extraction of relevant features from time series:
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vision_transformerby google-research
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mlops-zoomcampby DataTalksClub
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License: No License (No License)Free MLOps course from DataTalks.Club
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TensorFlow examples
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stable-diffusion-webui-colabby camenduru
stable diffusion webui colab
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deepmind-researchby deepmind
This repository contains implementations and illustrative code to accompany DeepMind publications
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python-machine-learning-bookby rasbt
The "Python Machine Learning (1st edition)" book code repository and info resource
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DeepLearningExamplesby NVIDIA
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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mml-book.github.ioby mml-book
Companion webpage to the book "Mathematics For Machine Learning"
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communityby kubernetes
Kubernetes community content
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pytorch-bookby chenyuntc
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
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PRMLby ctgk
PRML algorithms implemented in Python
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python3-cookbookby yidao620c
《Python Cookbook》 3rd Edition Translation
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DeepLearningby Mikoto10032
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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yolov7by WongKinYiu
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
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guidanceby microsoft
A guidance language for controlling large language models.
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notebookby jupyter
Jupyter Interactive Notebook
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dopamineby google
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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prettymapsby marceloprates
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
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code_snippetsby CoreyMSchafer
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mit-deep-learningby lexfridman
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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cs231n.github.ioby cs231n
Public facing notes page
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numerical-linear-algebraby fastai
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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Grounded-Segment-Anythingby IDEA-Research
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
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TensorFlow-Tutorialsby Hvass-Labs
TensorFlow Tutorials with YouTube Videos
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The-Complete-FAANG-Preparationby AkashSingh3031
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
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pandas_exercisesby guipsamora
Practice your pandas skills!
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computervision-recipesby microsoft
Best Practices, code samples, and documentation for Computer Vision.
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machine-learning-for-tradingby stefan-jansen
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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PySyftby OpenMined
data science on data without acquiring a copy
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nlp_courseby yandexdataschool
YSDA course in Natural Language Processing
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pandas-profilingby pandas-profiling
Create HTML profiling reports from pandas DataFrame objects
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amazon-sagemaker-examplesby aws
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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nn-zero-to-heroby karpathy
Neural Networks: Zero to Hero
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Interviewby apachecn
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
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paper2guiby Baiyuetribe
Convert AI papers to GUI，Make it easy and convenient for everyone to use artificial intelligence technology。让每个人都简单方便的使用前沿人工智能技术
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latent-diffusionby CompVis
High-Resolution Image Synthesis with Latent Diffusion Models
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leedl-tutorialby datawhalechina
《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
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nerfby bmild
Code release for NeRF (Neural Radiance Fields)
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machinelearningby ljpzzz
My blogs and code for machine learning. http://cnblogs.com/pinard
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c9-python-getting-startedby microsoft
Sample code for Channel 9 Python for Beginners course
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tensorflow2_tutorials_chineseby czy36mengfei
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
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PyTorch-Tutorialby MorvanZhou
Build your neural network easy and fast, 莫烦Python中文教学
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Data-Science-Notesby fengdu78
数据科学的笔记以及资料搜集
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TTSby mozilla
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
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FinRLby AI4Finance-Foundation
FinRL: Financial Reinforcement Learning. 🔥
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deep-image-priorby DmitryUlyanov
Image restoration with neural networks but without learning.
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machine-learning-notesby roboticcam
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
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tsfreshby blue-yonder
Automatic extraction of relevant features from time series:
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pycaretby pycaret
An open-source, low-code machine learning library in Python
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vision_transformerby google-research
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disco-diffusionby alembics
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mlops-zoomcampby DataTalksClub
Free MLOps course from DataTalks.Club
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examplesby tensorflow
TensorFlow examples
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