Maschinelles Lernen · GitHub

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

MCP server for Lacuna, a research map for machine learning: search directions, papers, authors, venues, and AI-generated research proposals.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

[CVPR 2022 Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

The next generation deep reinforcement learning tookit

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

Implementation of Graph Auto-Encoders in TensorFlow

Implementation of Graph Convolutional Networks in TensorFlow

Graph Convolutional Networks in PyTorch

Iris-3B pixel-space text-to-image on Apple Silicon GPUs: Metal-optimized engine, native macOS app, CLI, Python and local HTTP API

TensorFlow template application for deep learning

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Speedy Wavenet generation using dynamic programming :zap:

Pytorch framework for doing deep learning on point clouds.

TorchDR - PyTorch Dimensionality Reduction

• High Performance - Engineered for speed with GPU acceleration, torch.compile support, and optimized algorithms leveraging sparsity and negative sampling.
• Multi-GPU Support - Scale to massive datasets with built-in distributed computing. Use the torchdr CLI or torchrun for easy multi-GPU execution of compatible modules and methods.