pgsrv's repositories

Awesome-Implicit-NeRF-Robotics

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

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BMS_Molecular_Translation

Image-to-text translation of chemical molecule structures with deep learning (top-5% Kaggle solution)

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coral-cnn

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

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DOLG-pytorch

Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"

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GWC_solution

1st place solution of the Global Wheat Challenge 2021, by randomTeamName

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imagenette

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

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Kaggle_Leaf_Disease_Classification

Cassava leaf disease classification with CNNs and Vision Transformers (top-1% Kaggle solution)

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Kaggle_RANZCR_Challenge

Catheter and line position detection on X-Ray images with deep learning (top-5% Kaggle solution)

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MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

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pyemd

Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more

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pytorch-segmentation

Training of semantic segmentation networks with PyTorch

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ripser.py

A Lean Persistent Homology Library for Python

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sam

SAM: Sharpness-Aware Minimization (PyTorch)

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Scene-Text-Recognition-Recommendations

Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining

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SegLoss

A collection of loss functions for medical image segmentation

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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SensorsCalibration

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

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Total-Text-Dataset

Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind.

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YOLOX

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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zero-to-mastery-ml

All course materials for the Zero to Mastery Machine Learning and Data Science course.

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