chenpengf0223's repositories
awesome-knowledge-distillation
Awesome Knowledge Distillation
awesome-lane-detection
lane detection
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
BSS_distillation
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
CenterNet-tensorflow
CenterNet: Objects as Points in Tensorflow
CS-Book
计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍
docker-headless-vnc-container
Collection of Docker images with headless VNC environments
ETC-Real-time-Per-frame-Semantic-video-segmentation
Enforcing temporal consistency in real-time per-frame semantic video segmentation
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Knowledge_distillation_methods_wtih_Tensorflow
Knowledge distillation methods implemented with Tensorflow (now there are 8 methods, and will be added more.)
Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
leetcode-answer
leetcode 题解
libfacedetection
An open source library for face detection in images. The face detection speed can reach 1500FPS.
models
Models and examples built with TensorFlow
multi-task-machine-learning-papers
A list of multi-task machine learning papers.
Paper_Reading_List
Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)
pytorch-multi-gpu-training
整理 pytorch 单机多 GPU 训练方法与原理
receptive_field
Compute receptive fields of your favorite convnets
Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
tensorflow
An Open Source Machine Learning Framework for Everyone
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Ultra-Light-Fast-Generic-Face-Detector-1MB
💎 1MB轻量级人脸检测模型 (1MB lightweight face detection model)
UNet-family
Paper and pytorch Implement of UNet-related model.