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Apprentissage automatique · GitHub

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Projets GitHub utiles

4,627 projets

pySigLib

daniil-shmelev

27étoiles

Fast path signatures, log signatures, and signature kernels with PyTorch, JAX, and CUDA support

  • Signatures Truncated signatures and individual coefficients. - Log-signatures Truncated log signatures in full or compact Lyndon coordinates. - Signature kernels Kernels and metrics for sequential data.
  • Branched signatures Branched signatures, branched log signatures and branched signature kernels. - Signature streams Online updates and constant-time interval queries. - Backpropagation Manual and automatic backpropagation with PyTorch and JAX support.

llm-algo-leetcode

datawhalechina

746étoiles
llm-algo-leetcode preview

LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法与系统教程》面向大模型入门到进阶的算法实战教程,覆盖原理讲解、答案解析、测试用例与 CUDA/Triton 实战。

  • Notebook-first: Each lesson is organized around runnable code, exercises, answer cells, and basic validation.
  • Goal-oriented entry: Start from Part 02 for implementation practice, or follow the architecture, post-training, inference, performance, and operator routes.
90étoiles
Unsupervised-Defect-Detection-Project-Based-on-VAE-GAN-Architecture preview

本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势,无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.

  • Unsupervised learning: No need for labeled anomaly data
  • VAE-based image reconstruction
31étoiles
CARLA-Autonomous-Driving preview

Via high-fidelity CARLA vehicle simulator & deep semantic segmentation, data from RGBA cameras and LiDAR sensors are combined to achieve comprehensive environmental awareness

  • Realistic Simulation: Leverage the high-fidelity CARLA simulator to create diverse driving scenarios.
  • Autonomous Driving Algorithms: Implemented state-of-the-art algorithms for perception, planning, and control.

bpycv

DIYer22

507étoiles
bpycv preview

Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)

  • Render annotations for semantic segmentation, instance segmentation and panoptic segmentation
  • Generate 6DoF pose ground truth

AAAI-2024-Papers

DmitryRyumin

589étoiles
AAAI-2024-Papers preview

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!

70étoiles

Modern instance segmentation for DJI Tello drones with YOLOv8/Detectron2. Real-time performance, modular design, autonomous tracking.

  • 🎯 Multiple Detection Backends: YOLOv8 (fast) or Detectron2 (accurate)
  • 🚁 Modern Drone Control: Smooth RC controls, async processing
59étoiles
ViFastTts preview

Ứng dụng đọc tiếng Việt cho Windows/macOS/Linux, Web, Android, iOS Simulator và Chrome Extension: tải về chạy ngay, model có sẵn, đọc văn bản dài, xuất WAV. Mã nguồn mở; model nghiên cứu phi thương mại.

Anchor-Align

dwipddalal

43étoiles
Anchor-Align preview

Anchor-Align (arXiv:2607.13429): VLA finetuning that prevents behavior cloning from erasing pretrained VLM representations (catastrophic forgetting) and aligns language with actions. OOD generalization on a physical xArm7, LIBERO-PRO, LIBERO-Plus and CALVIN.