OniroAI/MonoDepth-PyTorch
quality grade D, 38 out of 100Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
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Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,663 results
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
Real-time Joint Semantic Reasoning for Autonomous Driving
✨ 首个CJK(中日韩)字体识别以及样式提取模型 YuzuMarker的字体识别模型与实现 / First-ever CJK (Chinese Japanese Korean) Font Recognition and Style Extractor, side project of YuzuMarker
[NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation
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)
:paperclip: Summaries of papers on deep learning
[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis
PyTorch Implementation for Deep Metric Learning Pipelines
Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"
PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
Estimate absolute 3D human poses from RGB images.
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!
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
DeepLab resnet v2 model in pytorch
PyTorch reimplementation of Interactive Deep Colorization
Multi-person Human Pose Estimation with HRNet in Pytorch
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Python library for analysing faces using PyTorch
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Lightweight & fast OCR models for license plate text recognition.
Use PyTorch to implement some classic frameworks
[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
Unofficial PyTorch Reimplementation of RandAugment.
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