Apprentissage automatique · GitHub

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Projets GitHub utiles

7,594 projetsUpdated --

4153

awesome-image-coloring

oskar-j

63étoiles

A curated list of awesome AI-powered image coloring frameworks, libraries and software.

Apprentissage automatiqueCC0-1.0GitHub

4154

imgclsmob

osmr

3,012étoiles

Sandbox for training deep learning networks

Apprentissage automatiquePythonMITGitHub

4155

Emotion-recognition

otaha178

1,240étoiles

Real time emotion recognition

Apprentissage automatiquePythonMITGitHub

4156

neural_prophet

ourownstory

4,312étoiles

NeuralProphet : un package simple de prévision

Multiple time series: Fit a global/glocal model with (partially) shared model parameters.
Uncertainty: Estimate values of specific quantiles - Quantile Regression.

Apprentissage automatiquePythonMITGitHub

4157

outerloop

outerloop-science

43étoiles

Autoresearch agents that improve your benchmark: independent re-measurement, enforced budgets, results as pull requests

Apprentissage automatiquePythonApache-2.0GitHub

4158

pocket-automl-android-tutorial

OutSorcerer

27étoiles

Pocket AutoML: Tutorial for Creating an Android App for Image Classification with Deep Learning

Apprentissage automatiqueKotlinApache-2.0GitHub

4159

myvision

OvidijusParsiunas

609étoiles

Computer vision based ML training data generation tool :rocket:

Apprentissage automatiqueJavaScriptGPL-3.0GitHub

4160

visualDet3D

Owen-Liuyuxuan

397étoiles

Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

SOTA Performance State of the art result on visual 3D detection.
Modular Design Modular design for dataset, network and running pipelines.

Apprentissage automatiquePythonApache-2.0GitHub

4161

owl

owlbarn

1,360étoiles

Owl - OCaml Scientific Computing @ https://ocaml.xyz

Apprentissage automatiqueOCamlMITGitHub

4162

Oxen

Oxen-AI

1,209étoiles

Lightning fast data version control system for large repositories of data. Feels like git, pushes and pulls like oxen.

🔥 Fast (efficient indexing and syncing of data)
🧠 Easy to learn (same commands as git)

Apprentissage automatiqueRustApache-2.0GitHub

4163

asleep

OxWearables

61étoiles

asleep: a sleep classifier for wearable sensor data using machine learning

Apprentissage automatiquePythonGitHub

4164

smac

oxwhirl

1,378étoiles

SMAC: The StarCraft Multi-Agent Challenge

Apprentissage automatiquePythonMITGitHub

4165

pyoxynet

oxynet-cpet

26étoiles

Open-source models from the Oxynet research papers for CPET data: exercise intensity domains, VT1 and VT2, synthetic tests. Runs locally, no TensorFlow needed.

Apprentissage automatiquePythonMITGitHub

4166

Attention-Gated-Networks

ozan-oktay

2,067étoiles

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Apprentissage automatiquePythonMITGitHub

4167

ai-renamer

ozgrozer

2,135étoiles

A Node.js CLI that uses Ollama and LM Studio models (Llava, Gemma, Llama etc.) to intelligently rename files by their contents

Apprentissage automatiqueJavaScriptGPL-3.0GitHub

4168

Welcome to the Machine Learning Engineering Repository, a comprehensive collection of resources, code, and insights to guide you through the exciting world of machine learning. This repository is designed to provide valuable information, best practices, and hands-on examples for individuals keen on mastering the art and science of machine learning

Apprentissage automatiqueJupyter NotebookApache-2.0GitHub

4169

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

p-christ

5,938étoiles

Deep-Reinforcement-Learning-Algorithms-with-PyTorch preview

PyTorch implementations of deep reinforcement learning algorithms and environments

Apprentissage automatiquePythonMITGitHub

4170

wilds

p-lambda

605étoiles

A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

Apprentissage automatiquePythonMITGitHub

4171

p2pfl

156étoiles

P2PFL is a decentralized federated learning library that enables federated learning on peer-to-peer networks using gossip protocols, making collaborative AI model training possible without reliance on central servers.

🚀 Easy to Use - Get started quickly with our intuitive API.
🛡️ Reliable - Built for fault tolerance and resilience.

Apprentissage automatiqueJupyter NotebookGPL-3.0GitHub

4172

text-to-image

paarthneekhara

2,165étoiles

Text to image synthesis using thought vectors

Apprentissage automatiquePythonMITGitHub

4173

docker-packing-box

packing-box

70étoiles

Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection

Apprentissage automatiqueYARAGPL-3.0GitHub

4174

Deep-Learning-with-Keras

PacktPublishing

1,048étoiles

Code repository for Deep Learning with Keras published by Packt

Apprentissage automatiqueJupyter NotebookMITGitHub

4175

Hands-On-Graph-Neural-Networks-Using-Python

PacktPublishing

1,066étoiles

Hands-On-Graph-Neural-Networks-Using-Python preview

Hands-On Graph Neural Networks Using Python, published by Packt

Apprentissage automatiqueJupyter NotebookMITGitHub

4176

Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits

PacktPublishing

153étoiles

Hands-On-Machine-Learning-with-scikit-learn-and-Scientific-Python-Toolkits preview

The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to implementing supervised and unsupervised machine learning algorithms in Python by Tarek Amr

Apprentissage automatiqueJupyter NotebookGitHub