Maschinelles Lernen · GitHub

yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)

LCNN: End-to-End Wireframe Parsing

machine learning course programming exercise

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

pytorch中文语言模型预训练

Pytorch implementation of MeanFlow on ImageNet and CIFAR10

INSTA - Instant Volumetric Head Avatars [CVPR2023]

Header-Only C++ Library for Graph Representation and Algorithms

NIPS — Machine-Learning-Based Network Intrusion Prevention System | Kitsune/LUCID integrated | Online unsupervised anomaly detection | Kernel-level real-time traffic interception | FastAPI + CLI management

A PyTorch Implementation of FaceBoxes

🔥Deep Learning for Face Anti-Spoofing

The official pytorch implemention of our ICML-2021 paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks".

PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

Tensor library for machine learning

• Eager mode, Lazy JIT Execution — tensor operations fuse into kernels as you write them; when fusion is no longer possible, the kernel executes. For one-off computations.
• Tape (e-graph) — wrap loop bodies in a Tape for lazy graph building, autograd and e-graph-based fusion optimization. Computation happens when realize is called. For repeated computations.

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

Generative Adversarial Text to Image Synthesis / Please Star -->

U-Net Brain Tumor Segmentation