cl19951225

cl19951225

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AI-For-Beginners

12 Weeks, 24 Lessons, AI for All!

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awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

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BinanceEDA

Exploratory data analysis with the Binance API

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coinbasepro-python

The unofficial Python client for the Coinbase Pro API

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deeptime

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

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examples

Example deep learning projects that use wandb's features.

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gym-mtsim

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)

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HFTSimulator

A real-world data, trading day simulator for testing algorithmic trading strategies. This repo also includes the implementation of two High-Frequency trading strategies, one utilising a long short-term memory recurrent neural network (LSTM), and the other, an ordinary differential equation recurrent neural network (ODE-LSTM).

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MVAC

Code for the experiments presented in the paper "Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning".

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Paper-Replicate-Learning-to-Simulate-Equity-Option-Markets

Simulation of Stock Data Using Recurrent GAN

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pfhedge

PyTorch-based framework for Deep Hedging

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Pricing_options_with_correlators

Pricing Asian Options with Correlators

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python_for_image_processing_APEER

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

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python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

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PytorchGeometricTutorial

Pytorch Geometric Tutorials

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raindrop-charts

Streamlit app that makes raindrop charts using plotly.

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reinforcement_learning

Research repo for the RL team.

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RL-DynamicConvexRisk

Python code to perform risk-sensitive Reinforcement Learning with dynamic convex risk measures

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syntheticdatagen

synthetic data generation of time-series data

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t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

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torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

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ydata-synthetic

Synthetic structured data generators

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