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minimalrl

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

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.

mlt-contributions

mmaml-classification

An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim

mmdetection

Open MMLab Detection Toolbox

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

models

Models and examples built with TensorFlow

modelzoo

neon model zoo

neural-processes

Pytorch implementation of Neural Processes for functions and images :fireworks:

neural_renderer

Code for "Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

notebooks

ns

Null

nullspacenet

nvae

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder"

od-test

OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)

one-shot-object-detection

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

online-visual-tracking-sota

open-images-dataset

Open Images is a dataset of ~9 million images that have been annotated with image-level labels and bounding boxes spanning thousands of classes.

pacnet

Pixel-Adaptive Convolutional Neural Networks (CVPR '19)

paper-template

Collection of paper latex template for several computer vision related conference.

partialconv

A New Padding Scheme: Partial Convolution based Padding

pay-attention-pytorch

PyTorch implementation of the ICLR 2018 paper Learning to Pay Attention.

pcn

Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018.

performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

pftrack

Object tracking demo with particle filter algorithm in python

plotneuralnet

Latex code for making neural networks diagrams

portrait_matting

Implementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.

practical-python

Practical Python Programming (course by @dabeaz)

preciseroipooling

Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590).