controllablegeneration Goto Github PK

batch-norm-helps-optimization

Reproduction of "How Does Batch Normalization Help Optimization?" paper

centernet

Object detection, 3D detection, and pose estimation using center point detection:

dl-engineer-guidebook

深度学习工程师生存指南

dorn_pytorch

PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation

facemesh.pytorch

This is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)

leedl-tutorial

《李宏毅深度学习教程》，PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

onnx2pytorch

Transform ONNX model to PyTorch representation

pinto_model_zoo

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

pocketlcd

带充电宝功能的便携显示器

project-based-learning

Curated list of project-based tutorials

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_simple_centernet_45

A simple pytorch implementation of CenterNet (Objects as Points)

spoon-knife

This repo is for demonstration purposes only.

superviseddepthprediction

Pytorch framework for supervised depth prediction

tudelft_in4325

yet-another-efficientdet-pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.