pokidyshev's Stars
Cubbee/samara-ml
D-X-Y/landmark-detection
Four landmark detection algorithms, implemented in PyTorch.
hollance/coreml-survival-guide
Source code for the book Core ML Survival Guide
BloodAxe/Catalyst-Inria-Segmentation-Example
An example project showing the power of Catalyst for training segmentation model for Inria Sattelite Segmentation Challenge
nv-tlabs/STEAL
STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
EvgenyKashin/SRMnet
PyTorch implementation of "SRM : A Style-based Recalibration Module for Convolutional Neural Networks"
EvgenyKashin/backbone
Minimalistic PyTorch training loop
facebookresearch/supervision-by-registration
Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors
BloodAxe/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
surfstudio/ocean
A workflow managing tool for Machine Learning and Data Science projects
amirassov/youtrain
mapbox/robosat
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
mbadry1/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
albumentations-team/albumentations
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
automl/auto-sklearn
Automated Machine Learning with scikit-learn
arogozhnikov/python3_with_pleasure
A short guide on features of Python 3 with examples
catalyst-team/catalyst
Accelerated deep learning R&D
markusschanta/awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
olferuk/MLSummerSchool
Материалы факультатива по машинному обучению и искусственному интеллекту
qubvel/segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
nteract/papermill
📚 Parameterize, execute, and analyze notebooks
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
DenisVorotyntsev/StihiData
Sthihi.ru dataset
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
alteryx/featuretools
An open source python library for automated feature engineering
cchen156/Learning-to-See-in-the-Dark
Learning to See in the Dark. CVPR 2018
XanderHorn/autoEDA
Automated exploratory data analysis
olferuk/BachelorDegree