YangHaha11514's repositories
github-slideshow
A robot powered training repository :robot:
libfacedetection
An open source library for face detection in images. The face detection speed can reach 1000FPS.
serve
Model Serving on PyTorch
TorchCRF
An Inplementation of CRF (Conditional Random Fields) in PyTorch 1.0
nndl.github.io
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意
Dataloader.async
An asynchronous pytorch Dataloader for general neural network pipeline accelaration.
numpy-ml
Machine learning, in numpy
course-nlp
A Code-First Introduction to NLP course
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
timesketch
Collaborative forensic timeline analysis
CLRS
:notebook:Solutions to Introduction to Algorithms
machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
go-common
哔哩哔哩 bilibili 网站后台工程 源码
coding-interview-university
A complete computer science study plan to become a software engineer.
sanic
Async Python 3.5+ web server that's written to go fast
faceswap
Non official project based on original /r/Deepfakes thread. Many thanks to him!
docker-cheat-sheet
Docker Cheat Sheet
first-contributions
🚀✨ Help beginners to contribute to open source projects
flutter-common-widgets-app
flutter 开发者帮助 APP，包含 flutter 常用 130+ 组件的中文文档与 demo 演示
d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
awesome-python-applications
💿 Free software that works great, and also happens to be open-source Python.
ailab
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
zeu
A JavaScript library for real-time visualization
tensorly
TensorLy: Tensor Learning in Python.
datashader
Turns even the largest data into images, accurately.
requests
Python HTTP Requests for Humans™ ✨🍰✨
artiq
A leading-edge control system for quantum information experiments