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stable-diffusionby CompVis
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TensorFlow-Examplesby aymericdamien
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PythonDataScienceHandbookby jakevdp
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segment-anythingby facebookresearch
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google-researchby google-research
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Google Research
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Probabilistic-Programming-and-Bayesian-Methods-for-Hackersby CamDavidsonPilon
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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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Jupyter Notebook 24412 Version:Current License: Permissive (MIT)
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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Complete-Python-3-Bootcampby Pierian-Data
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homemade-machine-learningby trekhleb
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Python programs, usually short, of considerable difficulty, to perfect particular skills.
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Data-Science-For-Beginnersby microsoft
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reinforcement-learningby dennybritz
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Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
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deep-learning-with-python-notebooksby fchollet
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Dive-into-DL-PyTorchby ShusenTang
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awesome-python-applicationsby mahmoud
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License: No License (No License)💿 Free software that works great, and also happens to be open-source Python.
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data-engineering-zoomcampby DataTalksClub
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the-craft-of-selfteachingby selfteaching
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License: No License (No License)One has no future if one couldn't teach themself.
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Jupyter Notebook 13832 Version:Current License: Proprietary (Proprietary)
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digital_video_introductionby leandromoreira
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first-order-modelby AliaksandrSiarohin
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Deep-Learning-with-TensorFlow-bookby dragen1860
Jupyter Notebook 12940 Version:Current License: No License (No License)
License: No License (No License)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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modelsby tensorflow
Models and examples built with TensorFlow
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stable-diffusionby CompVis
A latent text-to-image diffusion model
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TensorFlow-Examplesby aymericdamien
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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openai-cookbookby openai
Examples and guides for using the OpenAI API
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PythonDataScienceHandbookby jakevdp
Python Data Science Handbook: full text in Jupyter Notebooks
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segment-anythingby facebookresearch
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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Made-With-MLby GokuMohandas
Learn how to responsibly develop, deploy and maintain production machine learning applications.
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Prompt-Engineering-Guideby dair-ai
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
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google-researchby google-research
Google Research
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MadeWithMLby GokuMohandas
Learn how to responsibly deliver value with ML.
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Probabilistic-Programming-and-Bayesian-Methods-for-Hackersby CamDavidsonPilon
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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handson-mlby ageron
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
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handson-ml2by ageron
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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annotated_deep_learning_paper_implementationsby labmlai
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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Complete-Python-3-Bootcampby Pierian-Data
Course Files for Complete Python 3 Bootcamp Course on Udemy
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fastaiby fastai
The fastai deep learning library
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barkby suno-ai
🔊 Text-Prompted Generative Audio Model
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homemade-machine-learningby trekhleb
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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pytudesby norvig
Python programs, usually short, of considerable difficulty, to perfect particular skills.
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Data-Science-For-Beginnersby microsoft
10 Weeks, 20 Lessons, Data Science for All!
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100-Days-Of-ML-Codeby MLEveryday
100-Days-Of-ML-Code中文版
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pydata-bookby wesm
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
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shapby slundberg
A game theoretic approach to explain the output of any machine learning model.
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reinforcement-learningby dennybritz
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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learnopencvby spmallick
Learn OpenCV : C++ and Python Examples
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fastbookby fastai
The fastai book, published as Jupyter Notebooks
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pytorch-handbookby zergtant
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
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deep-learning-with-python-notebooksby fchollet
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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lihang-codeby fengdu78
《统计学习方法》的代码实现
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Dive-into-DL-PyTorchby ShusenTang
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
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Anime4Kby bloc97
A High-Quality Real Time Upscaler for Anime Video
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TensorFlow-Courseby instillai
:satellite: Simple and ready-to-use tutorials for TensorFlow
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databy fivethirtyeight
Data and code behind the articles and graphics at FiveThirtyEight
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deeplearning-modelsby rasbt
A collection of various deep learning architectures, models, and tips
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CLIPby openai
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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alpaca-loraby tloen
Instruct-tune LLaMA on consumer hardware
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InvokeAIby invoke-ai
InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
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StableLMby Stability-AI
StableLM: Stability AI Language Models
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awesome-python-applicationsby mahmoud
💿 Free software that works great, and also happens to be open-source Python.
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data-engineering-zoomcampby DataTalksClub
Free Data Engineering course!
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h4ckerby The-Art-of-Hacking
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking / penetration testing, digital forensics and incident response (DFIR), vulnerability research, exploit development, reverse engineering, and more.
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the-craft-of-selfteachingby selfteaching
One has no future if one couldn't teach themself.
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ML-NLPby NLP-LOVE
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
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Kalman-and-Bayesian-Filters-in-Pythonby rlabbe
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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digital_video_introductionby leandromoreira
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷
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first-order-modelby AliaksandrSiarohin
This repository contains the source code for the paper First Order Motion Model for Image Animation
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Virgilioby virgili0
Your new Mentor for Data Science E-Learning.
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Deep-Learning-with-TensorFlow-bookby dragen1860
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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nlp-tutorialby graykode
Natural Language Processing Tutorial for Deep Learning Researchers
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AI-For-Beginnersby microsoft
12 Weeks, 24 Lessons, AI for All!
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