376 Open source projects that are alternatives of or similar to Multi-Agent-Diverse-Generative-Adversarial-Networks

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This is code of book "Learn Deep Learning with PyTorch"

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Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

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Important paper implementations for Question Answering using PyTorch

🇰🇷파이토치에서 제공하는 튜토리얼의 한국어 번역을 위한 저장소입니다. (Translate PyTorch tutorials in Korean🇰🇷)

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Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

The SimNets Architecture's Implementation in Caffe

Visual Attribute Transfer through Deep Image Analogy in PyTorch!

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' [ICCV 2019]

PyTorch tutorial for learners

Reproduce some methods in semi-supervised papers.

Learning low-shot object classification with explicit shape bias learned from point clouds

Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

A community run, 5-day PyTorch Deep Learning Bootcamp

This repo is official PyTorch implementation of MobileHumanPose: Toward real-time 3D human pose estimation in mobile devices(CVPRW 2021).

PyTorch深度学习快速入门教程（绝对通俗易懂！）

Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"

Getting started with AllenNLP and PyTorch by training a tweet classifier

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

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In-depth tutorials for implementing deep learning models on your own with PyTorch.

Listing my favorite research papers 📝 from different fields as I read them.

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Some tricks of pytorch... ⭐️

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

Early stopping for PyTorch

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Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Variants of Vision Transformer and its downstream tasks

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🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

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This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

GAN in Tensorflow to be run via Linux command line

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Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.