Name: Josh Reuben
Type: User
Company: @jreuben1
Bio: INTERESTS: AI, TensorFlow/JAX DRL+Transformers, Rust, Julia, GraalVM, LLVM, NVidia, CNCF, Program Synthesis, 3D-QSAR
Twitter: jreuben1
Location: Israel
Josh Reuben's Projects
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
:satellite: Organized Resources for Deep Learning Researchers and Developers
Deep Neuroevolution
Hands-on Deep Reinforcement Learning, published by Packt
This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Deep Learning tutorials in jupyter notebooks.
walkthrough of git
C++ Design Patterns
Sample code and configuration files from the Designing Distributed Systems book.
A TensorFlow implementation of the Differentiable Neural Computer.
ViZDoom Python wrapper
eBPF (extended Berkeley Packet Filter) Guide
extended core file snapshot format
edb is a cross platform x86/x86-64 debugger.
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
The EGLStream-based Wayland external platform
A framework for Engineering Managers
A collection of (mostly) technical things every software developer should know
Starter code for Evolution Strategies
Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen
C++ project example using Clang (linux ubuntu), CMake, CLion and Conan
Functionnal programming great ressources
Code, exercises, answers, and hints to go along with the book "Functional Programming in Scala"
Reverse engineering of Linux/OSX gcc C++ name mangling
Examples of how to serve ML models on GCP
If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.
source code from the book Genetic Algorithms with Python by Clinton Sheppard
A curated list of articles complaining that go (golang) isn't good enough