ranchogoose Goto Github PK

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

cellseg_uos

Stem cell segmentation enhanced by virsual outliers

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）

docs

TensorFlow documentation

energy_ood

hardware_lab_project

STM32f4 Discovery Board

iccv2021-paper-code-interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

improving_segmentation_with_selfsupervised_depth

An implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

jd_seckill_docker

京东茅台抢购神器docker优化版，喜欢记得Star谢谢

learning_methods_dynamic_tm

Code for the models introduced in the paper "Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis" by Olga Isupova, Danil Kuzin, Lyudmila Mihaylova. Published in IEEE Transactions on Neural Networks and Learning Systems, 2017

machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

ml

mnist-challenge

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

msc_final_project

opencv

Open Source Computer Vision Library

openood

Benchmarking Generalized Out-of-Distribution Detection

owod

(CVPR 2021 Oral) Open World Object Detection

pod_compare

Code for our paper titled: "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving"

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

rancho

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.