QJSQJS's repositories
pointops_cuda_windows
pointops_cuda for windows
smoothly-vslam
VSLAM开源基础教程，各章节练习代码
MedicalGPT
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training Pipeline. 训练医疗大模型，实现包括二次预训练、有监督微调、奖励建模、强化学习训练。
open-llms
🤖 A list of open LLMs available for commercial use.
SynDeepLesion
A Benchmark Dataset: Synthesized DeepLesion for CT Metal Artifact Reduction
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
CnOCR
CnOCR: Awesome Chinese/English OCR toolkits based on PyTorch/MXNet, It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. 【基于 PyTorch/MXNet 的中文/英文 OCR Python 包。】
prompt-engineering-note
🔥🔔prompt-engineering-note🔔🔥
Alpaca-family-library
Summarize all low-cost replication methods for Chatgpt.
QJSQJS.github.io
QJS's blog
FastChat
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
gpt4all
gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue
efficientteacher
A Supervised and Semi-Supervised Object Detection Library for YOLO Series
ML_QJS
机器学习
Awesome-Diffusion-Models-in-Medical-Imaging
Diffusion Models in Medical Imaging
mmdetection
OpenMMLab Detection Toolbox and Benchmark
RotationDetection
This is a tensorflow-based rotation detection benchmark, also called AlphaRotate.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
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.
MathModel
研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT
PLMpapers
Must-read Papers on pre-trained language models.
AirDet
Full conference version of AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration
YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.