lhan's repositories
algorithms
Minimal examples of data structures and algorithms in Python
asciinema
Terminal session recorder 📹
awesome-blockchains
A collection about awesome blockchains - open distributed public databases w/ crypto hashes incl. git ;-). Blockchains are the new tulips :tulip::tulip::tulip:. Distributed is the new centralized.
basic-yolo-keras
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
bootcamp
Bootcamp ハンズオンで使用する資料集
brew
🍺 The missing package manager for macOS
cpython
The Python programming language
grafana-dashboards
Grafana dashboards for MySQL and MongoDB monitoring using Prometheus
helm-charts
Prometheus community Helm charts
HowToBeAProgrammer
A guide on how to be a Programmer - originally published by Robert L Read
katacoda-scenarios
Katacoda Scenarios
keras-grad-cam
An implementation of Grad-CAM with keras
keras-rl
Deep Reinforcement Learning for Keras.
kubectl-rolesum
Summarize Kubernetes RBAC roles for the specified subjects.
kubernetes
Production-Grade Container Scheduling and Management
ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
nnabla
Neural Network Libraries
runner-images
GitHub Actions runner images
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
wtfpython
A collection of surprising Python snippets and lesser-known features.
YAD2K
YAD2K: Yet Another Darknet 2 Keras
yolo-9000
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
yolov2
YOLOv2 Implementation in TF/Keras. Allowing to experiment on different feature detectors (MobileNet, Darknet-19). Paper: https://arxiv.org/abs/1612.08242