MartinGoUp's Stars
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
lizongying/my-tv
我的电视 电视直播软件,安装即可使用
meta-llama/llama3
The official Meta Llama 3 GitHub site
Vision-CAIR/MiniGPT-4
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
ShusenTang/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
yihong0618/bilingual_book_maker
Make bilingual epub books Using AI translate
OUCMachineLearning/OUCML
CrazyBoyM/llama3-Chinese-chat
Llama3、Llama3.1 中文仓库(随书籍撰写中... 各种网友及厂商微调、魔改版本有趣权重 & 训练、推理、评测、部署教程视频 & 文档)
openvinotoolkit/anomalib
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
llSourcell/learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
J2TEAM/idm-trial-reset
Use IDM forever without cracking
jingyi0000/VLM_survey
Collection of AWESOME vision-language models for vision tasks
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
yassouali/pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
xiaoyufenfei/Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
teddykoker/torchsort
Fast, differentiable sorting and ranking in PyTorch
yaringal/DropoutUncertaintyExps
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
Qinying-Liu/Awesome-Open-Vocabulary-Semantic-Segmentation
A curated publication list on open vocabulary semantic segmentation and related area (e.g. zero-shot semantic segmentation) resources..
chongzhou96/MaskCLIP
Official PyTorch implementation of "Extract Free Dense Labels from CLIP" (ECCV 22 Oral)
khanrc/tcl
Official implementation of TCL (CVPR 2023)
sandialabs/bcnn
3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793
Jazzcharles/OVSegmentor
OVSegmentor, CVPR23
muyangyi/SimSeg
[CVPR'23] A Simple Framework for Text-Supervised Semantic Segmentation
Qinying-Liu/TagAlign
Official implementation of TagAlign
NMS05/Patch-Aligned-Contrastive-Learning
samirapakravan/segmentation_uq
Monte Carlo dropout method for uncertainty quantification in image segmentation
yunwoong7/GPT-4V-Examples
Explore the power of GPT-4V with our curated examples and tutorials. This repository offers code snippets, step-by-step guides, and use case demonstrations for integrating GPT-4V into various applications. Perfect for both AI novices and experts!