方立超's repositories
hello-algo
《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing
microservices-demo
Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.
transformers_tasks
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
DSB2017
The solution of team 'grt123' in DSB2017
GLM-130B
GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
QYQXDeepLearning
DeepLearning
azure-sdk-for-java
This repository is for active development of the Azure SDK for Java. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/java/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-java.
azure-sdk-for-python
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Adlik
Adlik: Toolkit for Accelerating Deep Learning Inference
aiops-handbook
Collection of slides, repositories, papers about AIOps
flink-ml
Machine learning library of Apache Flink
dl-on-flink
Deep Learning on Flink aims to integrate Flink and deep learning frameworks (e.g. TensorFlow, PyTorch, etc) to enable distributed deep learning training and inference on a Flink cluster.
pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
awesome-AI-cheatsheets
AI与数据科学各类工具库速查表与参考代码
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
imgs
imgs to show
KAIR
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
BAM
we proposed a light-weigt but efficient blanced attention mechanism for SISR task.
nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Yolo-FastestV2
:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
PaddleClas
A treasure chest for visual recognition powered by PaddlePaddle
AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
fast-sr-unet
Implementation of the paper "Fast video visual quality and resolution improvement using SR-UNet".
sesr-1
Super-Efficient Super Resolution
Pytorch_Retinaface
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/