Stars
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Implementation of IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs (ICLR 2024).
Kuboard 是基于 Kubernetes 的微服务管理界面。同时提供 Kubernetes 免费中文教程，入门教程，最新版本的 Kubernetes v1.23.4 安装手册，(k8s install) 在线答疑，持续更新。
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署，支持Android与iOS。
EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.
fengxingxiang / EasyQuant
Forked from deepglint/EasyQuantEasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.
Cluster-NMS into YOLOv3 Pytorch
State-of-the-art 2D and 3D Face Analysis Project
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Visualizer for neural network, deep learning and machine learning models
Implementation of popular deep learning networks with TensorRT network definition API
超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M
This is the implementation that supports yolov5s, yolov5m, yolov5l, yolov5x.
fengxingxiang / DB
Forked from MhLiao/DBA PyToch implementation of "Real-time Scene Text Detection with Differentiable Binarization".
Python构建快速高效的中文文字识别OCR
fengxingxiang / awesome-deep-text-detection-recognition
Forked from hwalsuklee/awesome-deep-text-detection-recognitionA curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
Code for: "And the bit goes down: Revisiting the quantization of neural networks"