Pierre-Antoine Ganaye

tldraw. Build infinite canvas apps in React with the tldraw SDK. World's best, top-most agent recommended #1 five star SDK.

Tensor-Puzzles. Solve puzzles. Improve your pytorch.

lmdeploy. LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

cpp-cheatsheet. Modern C++ Cheatsheet

ODM. A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

GPU-Puzzles. Solve puzzles. Learn CUDA.

llm.c. LLM training in simple, raw C/CUDA

triton. Development repository for the Triton language and compiler

lectures. Material for gpu-mode lectures

OLMo. Modeling, training, eval, and inference code for OLMo

llama_index. LlamaIndex is the leading document agent and OCR platform

mlc-llm. Universal LLM Deployment Engine with ML Compilation

vllm. A high-throughput and memory-efficient inference and serving engine for LLMs

trpc. 🧙‍♀️ Move Fast and Break Nothing. End-to-end typesafe APIs made easy.

OpenSfM. Open source Structure-from-Motion pipeline

gdrnpp_bop2022. [T-PAMI'25] PyTorch Implementation of GDRNPP, winner (most of the awards) of the BOP Challenge 2022 at ECCV'22

progressive-x. The Progressive-X algorithm proposed in paper: Daniel Barath and Jiri Matas; Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm, International Conference on Computer Vision, 2019. It is available at https://arxiv.org/pdf/1906.02290

diffusers. 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

stable-diffusion. A latent text-to-image diffusion model

fluentui-emoji. A collection of familiar, friendly, and modern emoji from Microsoft

blog.maximeheckel.com. Codebase of @MaximeHeckel's personal blog

briOS. My personal website.

LEARNNEXTJS. TypeScript

scalabel. Scalabel: A versatile web-based visual data annotation tool

type-challenges. Collection of TypeScript type challenges with online judge

pytorch-segmentation-detection. Image Segmentation and Object Detection in Pytorch

server. The Triton Inference Server provides an optimized cloud and edge inferencing solution.

leaflet-geoman. 🍂🗺️ The most powerful leaflet plugin for drawing and editing geometry layers

Leaflet.draw. Vector drawing and editing plugin for Leaflet

react-image-annotate. Create image annotations. Classify, tag images with polygons, bounding boxes or points.

labelbee. LabelBee is an annotation Library

coding-interview-university. A complete computer science study plan to become a software engineer.

MEAL-V2. MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.

defgrid-release. Official PyTorch implementation of Deformable Grid (ECCV 2020)

cvat. Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

fg-data-profiling. 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

gcloud. Google Cloud tutorial and setup

Orthanc-Tools-JS. New web-based version of Orthanc Tools : GUI and high level DICOMs tools based on Orthanc APIs

mmsegmentation. OpenMMLab Semantic Segmentation Toolbox and Benchmark.

computervision-recipes. Best Practices, code samples, and documentation for Computer Vision.

clearml. ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

tokenizers. 💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

HANet. Official PyTorch implementation of HANet (CVPR 2020)

segmentation_models.pytorch. Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

nlp_fundamentals. 📘 Contains a series of hands-on notebooks for learning the fundamentals of NLP

handson-ml2. ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

serve. Serve, optimize and scale PyTorch models in production

react-color. :art: Color Pickers from Sketch, Photoshop, Chrome, Github, Twitter & more

Yet-Another-EfficientDet-Pytorch. The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

efficientdet-pytorch. A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

matplotlib-cheatsheet. Matplotlib 3.1 cheat sheet.

dicom-anonymizer. Tool to anonymize DICOM files according to the DICOM standard

course-starter-python. 👩‍🏫🐍 Starter repo for building interactive Python courses

unform. Performance-focused API for React forms 🚀

blueprint. A React-based UI toolkit for the web

material-ui. Material UI: Comprehensive React component library that implements Google's Material Design. Free forever.

automl. Google Brain AutoML

HD-BET. Automated deep-learning based brain extraction applicable to a broad range of MRI sequence types and with robust performance even in the presence of pathology or treatment-induced tissue alterations.

nlp-tutorial. Natural Language Processing Tutorial for Deep Learning Researchers

Deep-Tutorials-for-PyTorch. In-depth tutorials for implementing deep learning models on your own with PyTorch.

text. Models, data loaders and abstractions for language processing, powered by PyTorch

PyTorch-NLP. Basic Utilities for PyTorch Natural Language Processing (NLP)

allennlp. An open-source NLP research library, built on PyTorch.

stylegan2-distillation. Python

PRML. PRML algorithms implemented in Python

kornia. 🐍 Geometric Computer Vision Library for Spatial AI

ichseg. ICH Segmentation of CT scans

cornerstoneTools. [Deprecated] Use Cornerstone3D Instead https://cornerstonejs.org/

Clinical. Clinical Toolbox for SPM (https://www.nitrc.org/projects/clinicaltbx/)

awesome-AutoML. Curating a list of AutoML-related research, tools, projects and other resources

SegWithDistMap. How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

a-PyTorch-Tutorial-to-Object-Detection. SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

Guide-RGPD-du-developpeur. La CNIL publie un guide RGPD pour les développeurs

pytorch-metric-learning. The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

onnxruntime. ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

AI-Frameworks. Science des Données Saison 5: Technologies pour l'apprentissage automatique / statistique de données massives et l'Intelligence Artificielle

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

lectures-labs. Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris

optuna. A hyperparameter optimization framework

cortex. Production infrastructure for machine learning at scale

httpx. A next generation HTTP client for Python. 🦋

starlette. The little ASGI framework that shines. 🌟

fastapi. FastAPI framework, high performance, easy to learn, fast to code, ready for production

complete-javascript-course. Starter files, final projects, and FAQ for my Complete JavaScript course

awesome-object-detection. Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

CCNet. CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

cds. Enterprise-Grade Continuous Delivery & DevOps Automation Open Source Platform

utask. µTask is an automation engine that models and executes business processes declared in yaml. ✏️📋

PyTorch-YOLOv3. Minimal PyTorch implementation of YOLOv3

react-vtkjs-viewport. VTK.js image viewport component in React

RepPoints. Represent Visual Objects by Point Sets

mmdetection. OpenMMLab Detection Toolbox and Benchmark

imagededup. 😎 Finding duplicate images made easy!

pycls. Codebase for Image Classification Research, written in PyTorch.

pytorch_active_learning. PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

apex. A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

EfficientNet-PyTorch. A PyTorch implementation of EfficientNet

captum. Model interpretability and understanding for PyTorch

detectron2. Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

intensity-normalization. Normalize MR image intensities in Python

streamlit. Streamlit — A faster way to build and share data apps.

dcm2niix. dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

auto-sklearn. Automated Machine Learning with scikit-learn

awesome-automl-papers. A curated list of automated machine learning papers, articles, tutorials, slides and projects

nni. An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

albumentations. Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

modin. Modin: Scale your Pandas workflows by changing a single line of code

course-v3. The 3rd edition of course.fast.ai

course-nlp. A Code-First Introduction to NLP course

numerical-linear-algebra. Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

d2l-pytorch. This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

surface-distance. Library to compute surface distance based performance metrics for segmentation tasks.

falcon. The no-magic web API and microservices framework for Python developers, with a focus on reliability and performance at scale.

flops-counter.pytorch. Flops counter for neural networks in pytorch framework

spacy-course. 👩‍🏫 Advanced NLP with spaCy: A free online course

NYU-DLSP20. NYU Deep Learning Spring 2020

MLTraining. Machine Learning Training for Data Science and AI ... Bootcamp in progress

Apprentissage. Science des Données Saison 3: Apprentissage Automatique / Statistique pour l'Intelligence Artificielle

introduction_to_ml_with_python. Notebooks and code for the book "Introduction to Machine Learning with Python"

ml-workshop-4-of-4. Advanced Machine Learning with Scikit-learn part II

ml-workshop-3-of-4. Advanced Machine Learning with Scikit-learn part I

ml-workshop-2-of-4. Intermediate Machine Learning with Scikit-learn, 4h interactive workshop

ml-workshop-1-of-4. Introduction to Machine learning with Python, 4h interactive workshop

COMS4995-s19. COMS W4995 Applied Machine Learning - Spring 19

ds-cheatsheets. List of Data Science Cheatsheets to rule the world

EvalAI. :cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

mlcourse.ai. Open Machine Learning Course

pytorch-examples. Simple examples to introduce PyTorch

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration