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Google DeepMind / University of Cambridge
- London, UK
- petar-v.com
- @PetarV_93
- in/petarvelickovic
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😎 Awesome lists about all kinds of interesting topics
An Open Source Machine Learning Framework for Everyone
🙃 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…
Empowering everyone to build reliable and efficient software.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Vim-fork focused on extensibility and usability
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
Resumes generated using the GitHub informations
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
A toolkit for developing and comparing reinforcement learning algorithms.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A curated list of awesome places to learn and/or practice algorithms.
Latex code for making neural networks diagrams
Oh my tmux! My self-contained, pretty & versatile tmux configuration made with 💛🩷💙🖤❤️🤍
Graph Neural Network Library for PyTorch
Fish shell like syntax highlighting for Zsh.
machine learning and deep learning tutorials, articles and other resources
A web-based collaborative LaTeX editor
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
This repository contains implementations and illustrative code to accompany DeepMind publications