GithubHelp home page GithubHelp logo

DeepPhysicVision's Projects

emiff icon emiff

EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

far3d icon far3d

[AAAI2024] Far3D: Expanding the Horizon for Surround-view 3D Object Detection

gaussian-splatting icon gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

gfnet icon gfnet

Global Filter Networks for Image Classification

glomo-tensorflow icon glomo-tensorflow

This is a tensorflow implementation of 2018 NIPS paper: [GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.]

hosts icon hosts

镜像:https://coding.net/u/scaffrey/p/hosts/git

inverse-hologram-with-cnn icon inverse-hologram-with-cnn

studying how to reconstruct images from holograms using CNN architecture, it is very like to train a model to inverse a Fourier transform

keras-elmo icon keras-elmo

How to use ELMo embeddings in Keras with Tensorflow Hub

machine-learning-notes icon machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接

mamba-minimal icon mamba-minimal

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

multi-task-transformer icon multi-task-transformer

Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"

ner-bert icon ner-bert

BERT-NER (nert-bert) with google bert https://github.com/google-research.

neural_renderer icon neural_renderer

"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

nlp-tutorial icon nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.