eddiesmo
https://www.linkedin.com/in/eddiesmo CEO & Co-Founder @ConnectedPapers Previously CV & ML Lead @alibaba Israel Head of Research @Visualead
@ConnectedPapers Israel - Tel Aviv
eddiesmo's Stars
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
home-assistant/core
:house_with_garden: Open source home automation that puts local control and privacy first.
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/algorithms
Minimal examples of data structures and algorithms in Python
drduh/macOS-Security-and-Privacy-Guide
Guide to securing and improving privacy on macOS
aleju/imgaug
Image augmentation for machine learning experiments.
kjw0612/awesome-deep-vision
A curated list of deep learning resources for computer vision
raulmur/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
0nn0/terminal-mac-cheatsheet
List of my most used commands and shortcuts in the terminal for Mac
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild
oarriaga/face_classification
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
google/seq2seq
A general-purpose encoder-decoder framework for Tensorflow
forter/security-101-for-saas-startups
security tips for startups
Qix-/better-exceptions
Pretty and useful exceptions in Python, automatically.
NVIDIA/DIGITS
Deep Learning GPU Training System
google-deepmind/learning-to-learn
Learning to Learn in TensorFlow
kylemcdonald/FreeWifi
How to get free wifi.
ethereon/caffe-tensorflow
Caffe models in TensorFlow
aleju/papers
Summaries of machine learning papers
dformoso/deeplearning-mindmap
A mindmap summarising Deep Learning concepts.
bckenstler/CLR
brilee/MuGo
Replicating AlphaGo's architecture in a readable manner
meetfranz/plugins-legacy
Franz Plugin Repository
hoangcuong2011/Good-Papers
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
sunshineatnoon/Paper-Collection
A track of papers I read
kylemcdonald/ml-examples
Examples of machine learning, with an emphasis on deep learning.
dot27/temporal-tessellation
endernewton/PixelNet
fabianschilling/awesome-convnets
A list of papers I used for my thesis about convolutional neural networks and batch normalization