Latest posts
Building the basic FunctionObject
So, in this article, we are going to investigate how to create and display “function objects” inside the NervCode environment. Obviously, we are not going for anything too fancy here, just the bare minimum to consider we are moving forward 
.
NervLuna: generating bindings for nvCore - second run
So here we are again, with yet another dev session to try to get the lua bindings for my nvCore module to finally compile properly. On the table today: abstract classes, unnamed arguments, already defined functions and finally link errors: “Bon appétit!” 
. But hey, the issues are not going to simply automatically fix themself, so no choice here: we have to get to work !
NervLuna: Handling C++ operators
In this new development session on NervLuna we will focusing on providing the correct support for the operator bindings and also fix some regression issues due to our latest updates on the parsing system. Let's get started!
NervLuna: Fixing generated file names
In our previous post, we were trying to generate the bindings for the nvCore module, and even if we cannot say this was a complete success, we made some significant steps forward. And now, it's time to continue on this path, trying to push it even further. Here we will mainly focus on how the actual binding files are named and what we can do to use short aliases for some template classes when applicable (both issues are closely related, since we use the class name to generate the file name.)
Generating bindings for the nvCore module
The nvCore module is the base module I built to encapsulate all the features that I consider as “base blocks” for any other sub-project. As a result, this is the first useful module I should try the NervLuna binding generation on. And this is was we will try to achieve in this article. Let's get started!
NervCode: an innovating coding environment
I currently have an idea in mind that I starting to think could really be worth something. And thus, I would like to work on this idea a bit to see if this can bring me somewhere.
The base concept is simple: I want to write a game. But I don't want to write a “game”. 
Support for const and static fields in NervLuna
So continuing on our NervLuna binding generator journey, we are now going to consider the support for const and static fields in a given input class.
Adding support for fields inheritance in NervLuna
As previously discussed, I've been working on my 'NervLuna' C++/lua binding generator project lately. The project can already be used to generate some interesting bindings, but many “base elements” are still missing. One of them is the support for fields inheritance in classes/structures. So, in this post, we will see together how this can be added.
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Blog History
2020
August
July
- 28 - NervLuna: Adding more input folders for nvCore bindings
- 13 - Building the new NervTech logo
- 09 - NervDraw: Building a RaphaëlJS rendering web app
- 07 - NervCode: Initial Virtual Keyboard display
- 01 - HomeCtrl: a touch of security
June
- 30 - Controlling our entrance gate from android app
- 23 - Building the basic FunctionObject
- 19 - NervLuna: generating bindings for nvCore - second run
- 18 - NervLuna: Handling C++ operators
- 17 - NervLuna: Fixing generated file names
- 15 - Generating bindings for the nvCore module
- 12 - NervCode: an innovating coding environment
- 10 - Support for const and static fields in NervLuna
- 09 - Adding support for fields inheritance in NervLuna
- 01 - Introducing NervLuna: the automatic C++/Lua binding generator
April
- 25 - JIT Compiler with LLVM - Part 5 - Bitcode, PCH, exceptions handling, module linking and more...
- 18 - JIT Compiler with LLVM - Part 4 - CRT dependency
- 16 - JIT Compiler with LLVM - Part 3 - Fixing the ModulePassManager crash
- 14 - JIT C++ compiler with LLVM - Part 2
- 10 - Dynamic C++ compilation with LLVM & clang
December
- 30 - Compilation ICU 65.1
2019
March
- 15 - Construction d'un cadre de lit
- 10 - Introduction to Deep Q-Networks
- 09 - Model-based policy networks
- 09 - Multi-actions vanilla policy Gradient
- 08 - Full policy Gradient agent for Reinforcement Learning
- 07 - Simple Policy gradient Training on armed bandit
- 05 - QNetwork learning
- 05 - Probabilistic QTable learning
- 04 - Simple QTable learning
February
January
- 12 - Using tensorflow queue system with CIFAR dataset
- 04 - SpinLock implementation in C++
- 03 - CIFAR-10 convolution network with batch normalization
- 02 - Recovering deleted GIT branch
- 01 - MNIST convolution network
2018
December
- 30 - MNIST Multilayer Perceptron network
- 30 - Simple MNIST Logistic regression
- 29 - Tensorflow setup - Second trial
- 28 - Upgrading Nvidia Drivers on Ubuntu
- 27 - Tensorflow install adventures
- 27 - String IDs in C++
2017
November
September
- 25 - Building Boost libraries for Android platform
- 24 - Cross-compile native mingw compilers for windows
- 21 - Setup Ragnarok map on ARK server
- 18 - Building Mingw64 compiler from sources on Linux
- 13 - Cross compiling C++ libraries for Android with CMake
- 08 - Crypto mining on solar panels
- 03 - Mon premier post