jscriptcoder
Follow
Stars
Hindsight Experience Replay algorithm research
[Experiment] HTTP vs WebSockets performance comparison
WebSocket server that exposes an API to train AI agents on OpenAI Gym and gym-api-like Environments
WebSocket client that consumes an API wrapping OpenAI Gym or gym-like environments such as Gym Retro or Unity ML-Agents.
[Home Assignment Test] Implementation of a typical Order Book found in Exchanges
This app aggregates liquidity across the greater DEX ecosystem and surfaces the best price to the user.
Terminal like application to interact with Ethereum smart contracts
A cross-platform runtime for Web developers to build desktop & mobile apps for any OS using any frontend library.
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Reinforcement learning library with JavaScript.
PyTorch implementation of SAC-Discrete.
Pytorch starter code for UC Berkeley's cs285 assignments
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
A bookmarklet for translating marketing speak into human-readable text. 💩
A TypeScript-like language for WebAssembly.
Modularized Implementation of Deep RL Algorithms in PyTorch
💥💥 This is a easy installable extension for OpenAi Gym Environment. This simulates SpaceX Falcon landing.
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Keras implementations of Generative Adversarial Networks.
A Deep Reinforcement Learning Challenge on Forex Portfolio Management
Extraordinary JavaScript UI framework with unique declarative and functional architecture
Rust / Wasm framework for creating reliable and efficient web applications
A tiny JavaScript debugging utility modelled after Node.js core's debugging technique. Works in Node.js and web browsers
Convert modern CSS into something browsers understand