sidorov-ks's Stars
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
ohmyzsh/ohmyzsh
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
terryum/awesome-deep-learning-papers
The most cited deep learning papers
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
keon/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
learn-anything/learn-anything.xyz
Organize world's knowledge, explore connections and curate learning paths
oxford-cs-deepnlp-2017/lectures
Oxford Deep NLP 2017 course
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
emacs-tw/awesome-emacs
A community driven list of useful Emacs packages, libraries and other items.
catboost/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
zhangqianhui/AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
matze/mtheme
A modern LaTeX Beamer theme
astorfi/TensorFlow-World
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
facebookresearch/MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
explosion/thinc
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
tkipf/gae
Implementation of Graph Auto-Encoders in TensorFlow
demidovakatya/vvedenie-mashinnoe-obuchenie
:memo: Подборка ресурсов по машинному обучению
reiinakano/xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
coxlab/prednet
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
jagajaga/FP-Course-ITMO
Slides and other materials for functional programming lectures ITMO university
hardmaru/pytorch_notebooks
tutorial notebooks
CmdrDats/igoki
Clojure Go Kifu recorder and OGS player
suyogduttjain/pixelobjectness
Generic Foreground Segmentation in Images
negrinho/deep_architect_legacy
DeepArchitect: Automatically Designing and Training Deep Architectures
ianthehenry/mixologician
optimize your home bar with ✨logic programming✨
mlpack/blog
Sources to www.mlpack.org/gsocblog
pshvechikov/deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning