RobertLuobo

RobertLuobo

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RobertLuobo's starred repositories

loss-landscape

Code for visualizing the loss landscape of neural nets

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graffitist

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

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bigdetection

BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training

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brevitas

Brevitas: neural network quantization in PyTorch

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fast-neural-style-pytorch

Fast Neural Style Transfer implementation in PyTorch :art: :art: :art:

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WCT2

Software that can perform photorealistic style transfer without the need of any post-processing steps.

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awesome-algorithm-books

📚 awesome algorithm books I've collected 【不定期更新】 搜集整理的算法书籍(经典算法、ML/DL算法、面试算法、比赛算法等)

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CTC-loss-introduction

介绍ctc算法原理以及numpy简单实现

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FairNAS

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search

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tensorRT_Pro

C++ library based on tensorrt integration

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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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Conference-Accepted-Paper-List

Some Conferences' accepted paper lists (including AI, ML, Robotic)

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ffcv-imagenet

Train ImageNet *fast* in 500 lines of code with FFCV

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PIPNet

Efficient facial landmark detector

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My-Data-Competition-Experience

本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢

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graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

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United-Perception

United Perception

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paper-reading

深度学习经典、新论文逐段精读

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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Transformer-MM-Explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

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Non-local_pytorch

Implementation of Non-local Block.

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nlp_paper_study

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

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ai-deadlines

:alarm_clock: AI conference deadline countdowns

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ccf-deadlines

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

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torch-cam

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

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deep_learning_with_noisy_labels_literature

This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

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Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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