Im currently working on market making software based on genetic algorithms and deep learning
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Working from home
Principal software engineer. Ruby, JavaScript, Java, Clojure, Python, Rust etc. Now: deep learning, NLP, Genetic algo, trading solutions.
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snake game state
snake game state 1import { makeAutoObservable } from 'mobx';
23class SnakeGameStore {
4// Defining the game grid size
5gridSize = 10;
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tmux_cheatsheet.markdown
tmux_cheatsheet.markdown 1# tmux cheatsheet
23As configured in [my dotfiles](https://github.com/henrik/dotfiles/blob/master/tmux.conf).
45start new:
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Demonstration of implementation "inh...
Demonstration of implementation "inheritance" in clojure 1;; Define a "base type" of Dog
2(defrecord Dog [breed])
34;; Define a "sub type" of TrainedDog
5(defrecord TrainedDog [dog word])
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pole balancing benchmark for genetic...
pole balancing benchmark for genetic algorithm 1const MAX_TIMESTEPS = 1000;
23function initializeCartPoleEnvironment() {
4const gravity = 9.8; // Acceleration due to gravity, m/s^2
5const cartMass = 1.0; // Mass of the cart
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0. description.md
0. description.md 1- `defprotocol`: defines an interface
2- `deftype`: create a bare-bones object which implements a protocol
3- `defrecord`: creates an immutable persistent map which implements a protocol
45Typically you'll use `defrecord` (or even a basic `map`);
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compatibilityDistance.js
compatibilityDistance.js 1function compatibilityDistance(network1, network2, c1 = 1, c2 = 1, c3 = 0.4) {
2const i1 = new Set(network1.connections.map((c) => c.innovation));
3const i2 = new Set(network2.connections.map((c) => c.innovation));
45const disjoint =
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