learnerjsk Goto Github PK

ailearningdatabase

This repository collects many knowledge documents and learning route of ai and programming. You can regard it as libaray

caffe

Caffe: a fast open framework for deep learning.

caffe-model-zoo

caffe pretrained models and prototxt

cornernet

cornernet-lite

deep-residual-networks

Deep Residual Learning for Image Recognition

deep_learning_object_detection

A paper list of object detection using deep learning.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faster_rcnn_sku110

VoVNet, MobileNet, ShuffleNet, HarDNet, GhostNet, EfficientNet backbone networks and SKU-110K dataset for detectron2

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

githubintellijplugin

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hello-world

Just another repository

learnerjsk.github.io

leetcode

LeetCode Problems' Solutions

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmdetection-annotated

mmdetection源码注释

mobilenet-caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

mobilenetv2

mobilenetv3

mobilenetv3 with pytorch，provide pre-train model

python

All Algorithms implemented in Python

pythonautowork

this repository includes some examples to automated process files excel pdf and so on based python language. You can use this codes to complete your own task.

pythonlearning

This repository will give some practice to help you learn python better.

resnet-1k-layers

Deep Residual Networks with 1K Layers

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

semanticsegmentation

shufflenet

This is a fast caffe implementation of ShuffleNet.

terminal

The new Windows Terminal, and the original Windows console host -- all in the same place!

vision

Datasets, Transforms and Models specific to Computer Vision

workingtime