JUNXYU's repositories
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
annotated_deep_learning_paper_implementations
🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback, vit), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, distillation, etc.
awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
CaraNet
Context Axial Reverse Attention Network for Small Medical Objects Segmentation
cockpit
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
ColossalAI
Making large AI models cheaper, faster and more accessible
CV-Backbones
CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
jd-seckill-maotai
京东茅台抢购最新优化版本，京东秒杀，添加误差时间调整，优化了茅台抢购进程队列
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
llama_index
LlamaIndex (formerly GPT Index) is a data framework for your LLM applications
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
nnDetection
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
SANet
SANet: A Slice-Aware Network for Pulmonary Nodule Detection
Seg-Uncertainty
IJCAI2020 & IJCV 2020 :city_sunrise: Unsupervised Scene Adaptation with Memory Regularization in vivo
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.
sz_lianjia_data_before2021
深圳链家2021指导价新政前的房源信息
transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"