Zhuoxin Gan (SpartaG117)

SpartaG117

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Zhuoxin Gan's repositories

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AI-Studio-Template

AI-Studio-项目迁移模板

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coding-interview-university

A complete computer science study plan to become a software engineer.

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Compact-Transformers

[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021

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darts

Differentiable architecture search for convolutional and recurrent networks

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deit

Official DeiT repository

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detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

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detr

End-to-End Object Detection with Transformers

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EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

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GPU-Puzzles

Solve puzzles. Learn CUDA.

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image-captioning

Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]

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image-paragraph-captioning

PyTorch implementation of Training for Diversity in Image Paragraph Captioning (EMNLP 2018)

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leetcode_101

LeetCode 101:和你一起你轻松刷题(C++)

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Machine_Learning_Tutorials

Code, exercises and tutorials of my personal blog ! 📝

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MEAL-V2

MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

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meshed-memory-transformer

M²: Meshed-Memory Transformer for Image Captioning. CVPR 2020

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ml-cvnets

CVNets: A library for training computer vision networks

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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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pycls

Codebase for Image Classification Research, written in PyTorch.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

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Scene-Graph-Benchmark.pytorch

A new codebase of Scene Graph Generation based on maskrcnn-benchmark. A Pytorch implementation of the CVPR 2020 paper "Unbiased Scene Graph Generation from Biased Training"

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scene_graph_benchmark

image scene graph generation benchmark

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SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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TinyNeuralNetwork

TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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vizseq

An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)

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VLP

Vision-Language Pre-training for Image Captioning and Question Answering

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