머신러닝 · GitHub

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.

A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

TorchGeo: 지리공간 데이터를 위한 데이터셋, 샘플러, 변환 및 사전 학습 모델