ShuffleLin's Stars
apple/ml-ferret
WUHU-G/RCC_Transformer
BradyFU/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
huggingface/notebooks
Notebooks using the Hugging Face libraries 🤗
Barabama/FreeNodes
v2ray免费节点爬虫，自动更新
dvlab-research/LISA
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
QwenLM/Qwen-VL
The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.
chatchat-space/Langchain-Chatchat
Langchain-Chatchat（原Langchain-ChatGLM, Qwen 与 Llama 等）基于 Langchain 与 ChatGLM 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain
liaokongVFX/LangChain-Chinese-Getting-Started-Guide
LangChain 的中文入门教程
ymcui/Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
ymcui/Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
brightmart/roberta_zh
RoBERTa中文预训练模型: RoBERTa for Chinese
yyliu01/RPL
[ICCV'23] Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
z-x-yang/Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
zhanght021/RPT
RPT: Learning Point Set Representation for Siamese Visual Tracking
open-mmlab/mmyolo
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
d2l-ai/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
mli/paper-reading
深度学习经典、新论文逐段精读
MLNLP-World/DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
rabia174/COVID-19-Deep-Learning-CNN-Model
Here, I created my own deep learning(CNN) model for early detection of COVID-19 from chest x-ray images. If we were to answer the question that why we need a deep learning model for early detection of COVID-19 from chest x-ray images, we can say the followings, doctors have seen that even if the test kits desined for diagnosis results in negative, the real results are positive for some patients when they review the chest X-ray images. For now the public dataset contains less amount of data which you can see in the dataset2 folder. We get this dataset from open-source https://github.com/ieee8023/covid-chestxray-dataset, but for sure it is not enough to train a proper deep learning model. But just to show that how easy it is to create an AI for the early detection of these kind of viruses. Just keep in mind that this cannot be used for diagnosis without training many more images in high-resolution and professinal medical tests. There you go! Let's work together to fight against COVID-19. As a tool, I used Keras with Tensorflow background, and the model can be improved by addig more convolution and pooling layers, and increasing the number of feature detectors'. Don't forget to upvote. Best Regards.
rekalantar/Covid19_Detector
Using Deep Learning to detect Covid-19 from X-Ray/CT scans of patients
ShahinSHH/COVID-CT-MD
A COVID-19 CT Scan Dataset Applicable in Machine Learning and Deep Learning
kyle-dorman/bayesian-neural-network-blogpost
Building a Bayesian deep learning classifier
Fafa-DL/Lhy_Machine_Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
Burf/TFDetection
A Detection Toolbox for Tensorflow2
keras-team/keras-docs-zh
Chinese (zh-cn) translation of the Keras documentation.
yenchenlin/DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
floodsung/DRL-FlappyBird
Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)