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adain-style

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

autogrd

AutoGRD is a meta-learning method for algorithm recommendation

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

course-v3

The 3rd edition of course.fast.ai

data-science-your-way

Ways of doing Data Science Engineering and Machine Learning in R and Python

deep-image-prior

Image restoration with neural networks but without learning.

deep-learning-boot-camp

A community run, 5-day PyTorch Deep Learning Bootcamp

deep-learning-keras-tensorflow-pycon-israel-2017

Long live PyCon Israel!

deepfacelab

DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

deeplabv3.pytorch

PyTorch implementation of DeepLabv3

doubledip

Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"

exploratory-data-analysis-with-pandas-and-python-3.x

Exploratory Data Analysis with Pandas and Python 3.x, published by Packt

fastbook

Draft of the fastai book

first-order-model

This repository contains the source code for the paper First Order Motion Model for Image Animation

hungabunga

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

keras-retinanet

Keras implementation of RetinaNet object detection.

kernelgan

machine-learning

mc-dropout-mnist

Implementation of MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf

melgan-neurips

GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

models

Models and examples built with TensorFlow

numerai

Code from my experiments on Numerai

python-for-signal-processing

Notebooks for "Python for Signal Processing" book

pytorch-adain

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

pytorchmedicalai

This is the hands-on deep learning tutorial series for the 2018/2019 Medical AI course by DeepOncology AI.

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

siamesex.pytorch

A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamRPN, SiamRPN++, SiamVGG, SiamDW, SiamRPN-VGG.

siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

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.