oradzhabov

awesome-deep-learning-papers

The most cited deep learning papers

Mask_RCNN

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

Kalman-and-Bayesian-Filters-in-Python

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 filters, and more. All exercises include solutions.

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

mlcourse.ai

Open Machine Learning Course

ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

pachyderm

Data-Centric Pipelines and Data Versioning

openMVG

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

keras-retinanet

Keras implementation of RetinaNet object detection.

GAN

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

neural-network-papers

eos

A lightweight 3D Morphable Face Model library in modern C++

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

talos

Hyperparameter Experiments with TensorFlow and Keras

ml4a

A python library and collection of notebooks for making art with machine learning.

4dface

Real-time 3D face tracking and reconstruction from 2D video

dfdc_deepfake_challenge

A prize winning solution for DFDC challenge

predicting-poverty

Combining satellite imagery and machine learning to predict poverty

pysph

A framework for Smoothed Particle Hydrodynamics in Python

Smoothly-Blend-Image-Patches

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

stable-fluids

A minimal Stable Fluids inspired fluid solver with Python and NumPy.

DGM

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Phy-Net

compressing physics with neural networks

Hyperopt-Keras-CNN-CIFAR-100

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task. Monitoring with TensorBoard. Other visualizations available.

ImageNet

Trial on kaggle imagenet object localization by yolo v3 in google cloud

xView3-The-First-Place-Solution

Contains source code for the winning solution of the xView3 challenge https://iuu.xview.us/.

pallas-solver

Global optimization algorithms written in C++