An inclusive pattern library builder.

Hello, Flask!

Best Practices on Recommendation Systems

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

NLTK Data

Notes for MIT-Linear-Algebra

MEng Final Year Project

Bonus materials, exercises, and example projects for our Python tutorials

A list of cool features of Git and GitHub.

A technical report on convolution arithmetic in the context of deep learning

Python Data Science Handbook: full text in Jupyter Notebooks

A New Padding Scheme: Partial Convolution based Padding

Latex code for making neural networks diagrams

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Baseline to denoise + learn descriptors in N-HPatches

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

A PyTorch Implementation of "Globally and Locally Consistent Image Completion".

Notebooks and code for the book "Introduction to Machine Learning with Python"

Metric learning algorithms in Python

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Image Completion using PatchMatch algorithm

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version