πΊπΈ Made in United States
Discover United States's Leading Open Source Projects: Explore top-notch open source initiatives hailing from the vibrant tech community of United States.
TOP Jupyter Notebook Projects
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI π https://microsoft.github.io/generative-ai-for-beginners/
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
facebookresearch/segment-anything
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.
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
GokuMohandas/Made-With-ML
Learn how to responsibly develop, deploy and maintain production machine learning applications.
google-research/google-research
Google Research
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
microsoft/autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
wesm/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
slundberg/shap
A game theoretic approach to explain the output of any machine learning model.
tloen/alpaca-lora
Instruct-tune LLaMA on consumer hardware
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
fivethirtyeight/data
Data and code behind the articles and graphics at FiveThirtyEight
instillai/TensorFlow-Course
π‘ Simple and ready-to-use tutorials for TensorFlow
mahmoud/awesome-python-applications
πΏ Free software that works great, and also happens to be open-source Python.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
rlabbe/Kalman-and-Bayesian-Filters-in-Python
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.
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
microsoft/guidance
A guidance language for controlling large language models.
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
neonbjb/tortoise-tts
A multi-voice TTS system trained with an emphasis on quality
jupyter/notebook
Jupyter Interactive Notebook
AI4Finance-Foundation/FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize π₯ We release the trained model on HuggingFace.
facebookresearch/seamless_communication
Foundational Models for State-of-the-Art Speech and Text Translation
CoreyMSchafer/code_snippets
lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
aws/amazon-sagemaker-examples
Example π Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using π§ Amazon SageMaker.
google-research/vision_transformer
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. π₯
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
karpathy/nn-zero-to-hero
Neural Networks: Zero to Hero
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
aimacode/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
microsoft/c9-python-getting-started
Sample code for Channel 9 Python for Beginners course
facebookresearch/llama-recipes
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
facebookresearch/dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
XavierXiao/Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
mozilla/TTS
π€ π¬ Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
h2oai/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
facebookresearch/DensePose
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
PWhiddy/PokemonRedExperiments
Playing Pokemon Red with Reinforcement Learning
nfmcclure/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
udacity/self-driving-car
The Udacity open source self-driving car project
rhiever/Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
alphacep/vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
lmoroney/dlaicourse
Notebooks for learning deep learning
pkmital/tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
karpathy/micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
karpathy/neuraltalk2
Efficient Image Captioning code in Torch, runs on GPU
quantopian/pyfolio
Portfolio and risk analytics in Python
WillKoehrsen/Data-Analysis
Data Science Using Python
udacity/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
srush/GPU-Puzzles
Solve puzzles. Learn CUDA.
NVIDIA/tacotron2
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
spro/practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
BinRoot/TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
rasbt/python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
Azure/Azure-Sentinel
Cloud-native SIEM for intelligent security analytics for your entire enterprise.
microsoft/QuantumKatas
Tutorials and programming exercises for learning Q# and quantum computing
IntelLabs/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
makcedward/nlpaug
Data augmentation for NLP
REMitchell/python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
rasbt/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
hxu296/leetcode-company-wise-problems-2022
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags. Updated as of May, 2022.
Azure/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
khuyentran1401/Data-science
Collection of useful data science topics along with articles, videos, and code
nianticlabs/monodepth2
[ICCV 2019] Monocular depth estimation from a single image
udacity/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
AllenDowney/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
microsoft/Quantum
Microsoft Quantum Development Kit Samples
google-research/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
udacity/machine-learning
Content for Udacity's Machine Learning curriculum
rasbt/python_reference
Useful functions, tutorials, and other Python-related things
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
justmarkham/scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
jakevdp/WhirlwindTourOfPython
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
vijishmadhavan/ArtLine
A Deep Learning based project for creating line art portraits.
AllenDowney/ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
chiphuyen/python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
microsoft/tensorwatch
Debugging, monitoring and visualization for Python Machine Learning and Data Science
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
runwayml/stable-diffusion
Latent Text-to-Image Diffusion
DataDog/go-profiler-notes
felixge's notes on the various go profiling methods that are available.
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
barbagroup/CFDPython
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
dair-ai/ML-Notebooks
π₯ Machine Learning Notebooks
JoePenna/Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.