Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
ai-projects
Artificial Intelligence projects, documentation and code.
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
ChatGPT-Next-Web
A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。
CIDA
[ICML 2020] Continuously Indexed Domain Adaptation
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
MorphoSeg
Stem cell segmentation enhanced by virsual outliers
RanchoGoose's Repositories
RanchoGoose/MorphoSeg
Stem cell segmentation enhanced by virsual outliers
RanchoGoose/MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
RanchoGoose/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
RanchoGoose/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
RanchoGoose/BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
RanchoGoose/ChatGPT-Next-Web
A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。
RanchoGoose/CIDA
[ICML 2020] Continuously Indexed Domain Adaptation
RanchoGoose/docs
TensorFlow documentation
RanchoGoose/energy_ood
RanchoGoose/ICCV2021-Paper-Code-Interpretation
ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理
RanchoGoose/improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
RanchoGoose/improving_segmentation_with_selfsupervised_depth
An implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"
RanchoGoose/jd_seckill_docker
京东茅台抢购神器docker优化版，喜欢记得Star谢谢
RanchoGoose/Machine-Learning-Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
RanchoGoose/MSc_Final_Project
RanchoGoose/opencv
Open Source Computer Vision Library
RanchoGoose/OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
RanchoGoose/OWOD
(CVPR 2021 Oral) Open World Object Detection
RanchoGoose/pod_compare
Code for our paper titled: "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving"
RanchoGoose/PViT
RanchoGoose/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
RanchoGoose/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
RanchoGoose/robust-deep-learning
A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
RanchoGoose/sheffield_hpc
A repository for the Sheffield HPC documentation
RanchoGoose/siren
source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"
RanchoGoose/stud
source code for CVPR'22 paper "Unknown-Aware Object Detection: Learning What You Don’t Know from Videos in the Wild"
RanchoGoose/UCB
Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
RanchoGoose/vos
source code for ICLR'22 paper "VOS: Learning What You Don’t Know by Virtual Outlier Synthesis"
RanchoGoose/Yolov5-deepsort-inference
Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中
RanchoGoose/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported.