ponykid's repositories
barlowtwins
PyTorch implementation of Barlow Twins.
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
awesome-metric-learning
😎 A curated list of awesome practical Metric Learning and its applications
Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
awesome-self-supervised-learning-in-medical-imaging
This repository is mainly dedicated for listing the recent research advancements in the application of Self-Supervised-Learning in medical images computing field
bayesian-optimization-in-action
Source code for Bayesian Optimization in Action, published by Manning
BayesSegNet-PyTorch
A PyTorch implementation of Bayesian SegNet
Bridging_UDA_SSL
The official codes of "Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners".
cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
cuda-tutorial
A set of hands-on tutorials for CUDA programming
cuda_learning
cuda learning for beginner
cujpg
CuJPG: 基于CUDA加速的JPEG解码库。主要用于Jetson系列板卡嵌入式开发应用。由USB摄像头捕获MJPG图像后，由本模块进行CPU+GPU混合解码，解码结果将滞留显存，然后可以直接送入TensorRT模块进行神经网络推理，降低系统延迟。
cycleGAN_with_segmentation
Domain adaptation with cycle-gan
DeepDenoiser
DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks
facies_classification_benchmark
The repository includes PyTorch code, and the data, to reproduce the results for our paper titled "A Machine Learning Benchmark for Facies Classification" (published in the SEG Interpretation Journal, August 2019).
gcdn
Deep Graph-Convolutional Image Denoising
gpu-python-tutorial
GPU Development in Python 101 tutorial
How_to_optimize_in_GPU
This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
MALMI
MAchine Learning aided earthquake MIgration location
my_configs.vim
my configs for vim setting (using the awesome vim setting)
Neural-Network-Architecture-Diagrams
Diagrams for visualizing neural network architecture (Created with diagrams.net)
open-pixel-art
A collaborative pixel art project to teach people how to contribute to open-source
openmapflow
Rapid map creation with machine learning and earth observation data.
seismic_deep_learning
A couple of python scripts to interpret geological structures from geophysical images using deep learning
Semantic-Segmentation-Guide
A Theory and Practical Guide to Deep Learning Semantic Segmentation
SimpleCVReproduction
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
torch_dockfile
torch_dockfile
VOC-Augmentation
A transformer which can randomly augment VOC format dataset (both image and bbox) online.