Discover Jupyter Notebook

google-research

Google Research

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 ;)

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

Learn how to responsibly develop, deploy and maintain production machine learning applications.

Made-With-ML

The fastai deep learning library

fastai

Python programs, usually short, of considerable difficulty, to perfect particular skills.

pytudes

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

CLIP

Python Data Science Handbook: full text in Jupyter Notebooks

PythonDataScienceHandbook

A game theoretic approach to explain the output of any machine learning model.

shap

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

generative-ai-for-beginners

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

digital_video_introduction

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

reinforcement-learning

A guidance language for controlling large language models.

guidance

A High-Quality Real Time Upscaler for Anime Video

Anime4K

Instruct-tune LLaMA on consumer hardware

alpaca-lora

A programming framework for agentic AI 🤖

autogen

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

handson-ml

StableLM: Stability AI Language Models

StableLM

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

homemade-machine-learning

Implementing ChatGPT-like LLMs from scratch, step by step

LLMs-from-scratch

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.

Kalman-and-Bayesian-Filters-in-Python

The fastai book, published as Jupyter Notebooks

fastbook

Data and code behind the articles and graphics at FiveThirtyEight

data

This repository contains the source code for the paper First Order Motion Model for Image Animation

first-order-model

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dopamine

Jupyter Interactive Notebook

notebook

A collection of various deep learning architectures, models, and tips

deeplearning-models

This repository contains implementations and illustrative code to accompany DeepMind publications

deepmind-research

Learn OpenCV : C++ and Python Examples

learnopencv

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

prettymaps

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-learning-with-python-notebooks

The "Python Machine Learning (1st edition)" book code repository and info resource

python-machine-learning-book

📡 Simple and ready-to-use tutorials for TensorFlow

TensorFlow-Course

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Grounded-Segment-Anything

12 Weeks, 24 Lessons, AI for All!

AI-For-Beginners

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.

handson-ml2

High-Resolution Image Synthesis with Latent Diffusion Models

latent-diffusion

Image restoration with neural networks but without learning.

deep-image-prior

Kubernetes community content

community

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

DeepLearningExamples

100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

A multi-voice TTS system trained with an emphasis on quality

tortoise-tts

Code release for NeRF (Neural Radiance Fields)

nerf

PRML algorithms implemented in Python

PRML

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

TTS

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

numerical-linear-algebra

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

micrograd

Companion webpage to the book "Mathematics For Machine Learning"

mml-book.github.io

QLoRA: Efficient Finetuning of Quantized LLMs

qlora

Visualizations for machine learning datasets

facets

swift

Swift for TensorFlow

Automatic extraction of relevant features from time series:

tsfresh

LAVIS - A One-stop Library for Language-Vision Intelligence

LAVIS

cs231n.github.io

Public facing notes page

Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger

llama-recipes

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

DensePose

TensorFlow Tutorials with YouTube Videos

TensorFlow-Tutorials

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

sam2

💿 Free software that works great, and also happens to be open-source Python.

awesome-python-applications

A scikit-learn compatible neural network library that wraps PyTorch

skorch

Natural Language Processing Tutorial for Deep Learning Researchers

nlp-tutorial

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

mit-deep-learning

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

h4cker

vision_transformer

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

edward

wtfpython的中文翻译/施工结束/ 能力有限，欢迎帮我改进翻译

wtfpython-cn

Flax is a neural network library for JAX that is designed for flexibility.

flax

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

pytorch-handbook

Efficient Image Captioning code in Torch, runs on GPU

neuraltalk2

Best Practices, code samples, and documentation for Computer Vision.

computervision-recipes

lihang-code

《统计学习方法》的代码实现

Foundational Models for State-of-the-Art Speech and Text Translation

seamless_communication

PyTorch code and models for the DINOv2 self-supervised learning method.

dinov2

Simple tutorials using Google's TensorFlow Framework

TensorFlow-Tutorials

Multi-Joint dynamics with Contact. A general purpose physics simulator.

mujoco

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydata-book

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cleverhans

10 Weeks, 20 Lessons, Data Science for All!

Data-Science-For-Beginners

One has no future if one couldn't teach themself.

the-craft-of-selfteaching

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

vosk-api

A collection of pre-trained, state-of-the-art models in the ONNX format

models

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

lama

From the basics to slightly more interesting applications of Tensorflow

tensorflow_tutorials

Solve puzzles. Learn CUDA.

GPU-Puzzles

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

Dreambooth-Stable-Diffusion

Kolmogorov Arnold Networks

pykan

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。

Dive-into-DL-PyTorch

《Python Cookbook》 3rd Edition Translation

python3-cookbook

Your new Mentor for Data Science E-Learning.

Virgilio

Taming Transformers for High-Resolution Image Synthesis

taming-transformers

A collection of infrastructure and tools for research in neural network interpretability.

lucid

stable diffusion webui colab

stable-diffusion-webui-colab

🎨🖌 Modern Sublime Text theme

ayu

tutorials

PyTorch tutorials.

Neural Networks: Zero to Hero

nn-zero-to-hero

Using Low-rank adaptation to quickly fine-tune diffusion models.

lora

The Udacity open source self-driving car project

self-driving-car

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

100

yolov7

Python, Jupyter Notebook, C++

microsoft

C#, Python, TypeScript

237,341

facebookresearch

101,845

fastai

Jupyter Notebook, Python, HTML

93,607

CompVis

Python, Jupyter Notebook, MATLAB

84,997

datawhalechina

Jupyter Notebook, Python, C++

75,478

ageron

Jupyter Notebook, Rust, Python

61,960

google-research

Python, Jupyter Notebook, C++

61,107

rasbt

Jupyter Notebook, Python, C

60,097

jakevdp

Python, Jupyter Notebook, TeX

50,673

DataTalksClub

48,676

aymericdamien

Python, Jupyter Notebook, TypeScript

43,328

google

Python, C++, Go

43,175

tensorflow

43,083

PacktPublishing

Python, Jupyter Notebook, JavaScript

42,736

GoogleCloudPlatform

Python, Go, Java

38,285

GokuMohandas

Jupyter Notebook, JavaScript, Python

35,469

udacity

34,683

google-deepmind

Python, Jupyter Notebook, C++

33,013

AI4Finance-Foundation