mandelbrot-walker's Stars
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
PaddlePaddle/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
hoya012/deep_learning_object_detection
A paper list of object detection using deep learning.
google/sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
xuebinqin/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
walkccc/CLRS
📚 Solutions to Introduction to Algorithms Third Edition
facebookresearch/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
tomgoldstein/loss-landscape
Code for visualizing the loss landscape of neural nets
tugstugi/dl-colab-notebooks
Try out deep learning models online on Google Colab
firmai/awesome-google-colab
Google Colaboratory Notebooks and Repositories (by @firmai)
amrzv/awesome-colab-notebooks
Collection of google colaboratory notebooks for fast and easy experiments
MIC-DKFZ/medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
orobix/retina-unet
Retina blood vessel segmentation with a convolutional neural network
Chen-Cai-OSU/awesome-equivariant-network
Paper list for equivariant neural network
elki-project/elki
ELKI Data Mining Toolkit
yizt/Grad-CAM.pytorch
pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...
axelbrando/Mixture-Density-Networks-for-distribution-and-uncertainty-estimation
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
lessw2020/Ranger21
Ranger deep learning optimizer rewrite to use newest components
peteflorence/MachineLearning6.867
My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867
krishnabits001/domain_specific_cl
Code for NeurIPS 2020 article "Contrastive learning of global and local features for medical image segmentation with limited annotations"
virtualvinodh/aksharamukha
Aksharamukha
eclique/RISE
Detect model's attention
Mayurji/MLWithPytorch
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
mhaut/AngularGrad
Pytorch implementation of AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
Chaste/Chaste
Chaste - Cancer Heart And Soft Tissue Environment - main public repository.
ababier/open-kbp
Develop dose prediction models for knowledge-based planning in radiotherapy
MIC-DKFZ/RegRCNN
This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.
KevinMoonLab/GRAE
Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning
dalerxli/PhotonicsDevices
Micro/Nano Photonics devices and Inverse design