Infatum

Infatum's Stars

• bitcoin/bitcoin

  Bitcoin Core integration/staging tree

  Language:C++79.6k4k8.3k36.4k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.8k4643264.2k

• quantopian/pyfolio

  Portfolio and risk analytics in Python

  Language:Jupyter Notebook5.7k3034171.8k

• polakowo/vectorbt

  Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

  Language:Python4.4k125451622

• MinaProtocol/mina

  Mina is a cryptocurrency protocol with a constant size blockchain, improving scaling while maintaining decentralization and security.

  Language:OCaml2k956.3k529

• omnilib/aiomultiprocess

  Take a modern Python codebase to the next level of performance.

  Language:Python1.8k2568101

• BlackArbsCEO/Adv_Fin_ML_Exercises

  Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

  Language:Jupyter Notebook1.7k15634632

• Rachnog/Deep-Trading

  Algorithmic trading with deep learning experiments

  Language:OpenEdge ABL1.4k19418694

• DiffEqML/torchdyn

  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

  Language:Jupyter Notebook1.4k27113130

• terra-money/classic-core

  GO implementation of the Terra Protocol

  Language:JavaScript98090341287

• vincentherrmann/pytorch-wavenet

  An implementation of WaveNet with fast generation

  Language:Jupyter Notebook9753040228

• Neuraxio/Neuraxle

  The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

  Language:Python6081931762

• Harry24k/bayesian-neural-network-pytorch

  PyTorch implementation of bayesian neural network [torchbnn]

  Language:Python496111475

• emoen/Machine-Learning-for-Asset-Managers

  Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

  Language:Python487115166

• duraki/SketchCrapp

  SketchCrapp - Crack your Sketch.app in seconds :) Supports MacOS Big Sur.

  Language:Shell437185637

• INK-USC/RE-Net

  Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

  Language:Python436107495

• ZichaoLong/PDE-Net

  PDE-Net: Learning PDEs from Data

  3111410104

• boyac/pyOptionPricing

  Option pricing based on Black-Scholes processes, Monte-Carlo simulations with Geometric Brownian Motion, historical volatility, implied volatility, Greeks hedging

  Language:Python2874230

• PythonProgramming/Pattern-Recognition-for-Forex-Trading

  http://pythonprogramming.net/machine-learning-pattern-recognition-algorithmic-forex-stock-trading/

  Language:Python235371103

• doda/advances-in-financial-ml-notes

  Language:Jupyter Notebook2347482

• ourownstory/AR-Net

  A simple Auto-Regressive Neural Network for time-series

  Language:Python1728320

• bybit-exchange/api-connectors

  Libraries for connecting to the Bybit API.

  Language:C#154290147

• terra-money/awesome-terra

  A curated list of awesome Terra blockchain resources

  14110042

• Abhijit-2592/model-server

  gRPC server for hosting ML models trained on any framework in python

  Language:Python785212

• giansalex/binance-stoploss

  Binance trailing stop-loss Bot

  Language:Go32358

• akononovicius/arfima

  Python implementation of ARFIMA process with an aim to simulate series.

  Language:Python21304

• cics-nd/cnn-inversion

  Deep autoregressive neural networks for high-dimensional inverse problems

  Language:Python20407

• Fangyh09/Autoregressive-Convolutional-Neural-Networks.Pytorch

  nntimeseries.pytorch https://arxiv.org/pdf/1703.04122.pdf

  Language:Python8200

• antoine-mtl/Head-and-shoulders-pattern-detection

  Using convolutional neural network to detect head ans shoulders pattern

  Language:Jupyter Notebook710

• Matt-Brigida/BDE_75

  Brown, Durbin, and Evans (1975) test for parameter stability

  Language:R1201