List of papers that combine self-supervision and continual learning

在我很多项目中用到的CV算法推理框架应用。

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Automated deep learning algorithms implemented in PyTorch.

World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Mult…

Learn OpenCV : C++ and Python Examples

Massively Parallel Deep Reinforcement Learning. 🔥

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

ALL IN ONE Hacking Tool For Hackers

TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据

Pytorch implementation of cnn network

Pytorch🍊🍉 is delicious, just eat it! 😋😋

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Deep learning inference nodes for ROS / ROS2 with support for NVIDIA Jetson and TensorRT

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

A repository in preparation for open-sourcing lottery ticket hypothesis code.

10k crowdsourced images for training segnets

MLOps tutorial using Python, Docker and Kubernetes.

A Nice-looking CV template made into LaTeX

A large scale study of Knowledge Distillation.

[ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

Must-read papers on graph neural networks (GNN)

An open access book on scientific visualization using python and matplotlib

Pytorch implementation of various Knowledge Distillation (KD) methods.

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

knowledge distillation papers