Nicolas Olivain's starred repositories

SA-PINNs

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

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FBPINNs

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

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xgboost-distribution

Probabilistic prediction with XGBoost.

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ngboost

Natural Gradient Boosting for Probabilistic Prediction

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computer-science

🎓 Path to a free self-taught education in Computer Science!

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ML-Papers-Explained

Explanation to key concepts in ML

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it-ift

TMB program for likelihood estimation of jump diffusions.

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dl-visuals

Over 200 figures and diagrams of the most popular deep learning architectures and layers FREE TO USE in your blog posts, slides, presentations, or papers.

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Reinforcement-Implementation

Implementation of benchmark RL algorithms

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RLD

Deep Reinforcement Learning Agents in Pytorch in a modular framework

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mines

Support de cours MINES ParisTech

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FinRL-Meta

FinRL­-Meta: Dynamic datasets and market environments for FinRL.

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FinRL

FinRL: Financial Reinforcement Learning. 🔥

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ElegantRL

Massively Parallel Deep Reinforcement Learning. 🔥

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trustful-bandits

A two armed bandit simulation and comparison with theoritical convergence

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siren

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

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ViTGAN

A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.

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online-sequential-optimization

Online Convex Optimization algorithms in Python

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cvxpy

A Python-embedded modeling language for convex optimization problems.

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minimalRL

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

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quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

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machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

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