Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

A higher-level Neural Network library for microcontrollers.

中国大模型

Cross-platform download bilibili video desktop software, support windows, macOS, Linux

全国各省市停贷通知汇总

Most popular metrics used to evaluate object detection algorithms.

翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

TNN：由腾讯优图实验室打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。

Simple Training and Deployment of Fast End-to-End Binary Networks

model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution …

Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Searched models better than the original paper are provided.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

InsightFaceRecognition_Demo_AndroidNCNN

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

stb single-file public domain libraries for C/C++

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

High performance Cross-platform Inference-engine, you could run Anakin on x86-cpu,arm, nv-gpu, amd-gpu,bitmain and cambricon devices.

Multi-platform embedded deep learning framework (多平台高性能嵌入式深度学习框架）

MNN is a lightweight deep neural network inference engine.

A face recognition solution on mobile device.

Benchmarks of approximate nearest neighbor libraries in Python

Latex code for making neural networks diagrams

Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!!