linhanxiao,xhl,github

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

gnnpapers

Must-read papers on graph neural networks (GNN)

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gym

A toolkit for developing and comparing reinforcement learning algorithms.

image-to-image-papers

A collection of image to image papers

image_augmentor

Data augmentation tool for images

imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

insightface

Face Recognition Project on MXNet

invariantriskminimization

PyTorch code to run synthetic experiments.

iter-reason

Code for Iterative Reasoning Paper (CVPR 2018)

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

learning_record

存储我的学习记录

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes

lingvo

Lingvo

llmsurvey

A collection of papers and resources related to Large Language Models.

mac-network

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

machinelearning

Machine Learning in Action（机器学习实战）

mathematics-for-machine-learning-and-data-science-specialization

Non-credit online course by DeepLearning.AI

medicaltorch

A medical imaging framework for Pytorch

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

models

Models and examples built with TensorFlow

munit

Multimodal Unsupervised Image-to-Image Translation

munit-tensorflow

Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation" (ECCV 2018)

neural-machine-translation

PyTorch implementation of "Effective Approaches to Attention-based Neural Machine Translation" using scheduled sampling to improve the parameter estimation process.

neural_renderer

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

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2.pytorch

image captioning model in pytorch(finetunable cnn in branch "with_finetune", self-critical training is under my self-critical.pytorch repository.)

neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

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