uber-research/UPSNet
quality grade F, 27 out of 100UPSNet: A Unified Panoptic Segmentation Network
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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
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UPSNet: A Unified Panoptic Segmentation Network
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
A Real-time Mario Kart 64 AI using ConvNets.
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
Real-time 3D multi-person pose estimation demo in PyTorch. OpenVINO backend can be used for fast inference on CPU.
Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)
Pretrained TorchVision models on CIFAR10 dataset (with weights)
机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有:机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战
A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.
Generating Videos with Scene Dynamics. NIPS 2016.
Sketch Your Own GAN: Customizing a GAN model with hand-drawn sketches.
An evolving guide to learning Deep Learning effectively.
A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
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This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
An open-source PyTorch code for crowd counting
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
Official code for MAMMA: Markerless Accurate Multi-person Motion Acquisition.
Quickly bring up your PyTorch project(a skeleton)
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