The official Meta Llama 3 GitHub site

A Library for Advanced Deep Time Series Models.

100+ Chinese Word Vectors 上百种预训练中文词向量

PyTorch ,ONNX and TensorRT implementation of YOLOv4

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Two simple and effective designs of vision transformer, which is on par with the Swin transformer

A technical report on convolution arithmetic in the context of deep learning

Implementation of the Swin Transformer in PyTorch.

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

Pytorch Implementation of Refinenet

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

A curated list of Multimodal Related Research.

Awesome anomaly detection in medical images

[ICML'2021 WCB] Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis.

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

Vision Transformer Cookbook with Tensorflow

Forked for gitlab, https://gitlab.com/EAVISE/adversarial-yolo

Maximum Mean Discrepancies(MMD)

[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

[CVPR 2022] This is the official code for the paper "Toward Fast, Flexible, and Robust Low-Light Image Enhancement".

Code Released for URetinex-Net

Beyond Brightening Low-light Images

Adversarial Training for NLP in Keras

Automated Detection of COVID-19 Cases Using Deep Neural Networks with X-Ray Images

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Official implementation for color version of: LLNet: A deep autoencoder approach to natural low-light image enhancement by Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar

Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up…

Implementation of PFLD For 68 Facial Landmarks By Pytorch