Python toolkit for quantitative finance
- gs-quant
- goldman-sachs
- risk-management
- trading-strategies
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Python toolkit for quantitative finance
An elegant PyTorch deep reinforcement learning library.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
RSA attack tool (mainly for ctf) - retrieve private key from weak public key and/or uncipher data
Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
PySpark + Scikit-learn = Sparkit-learn
🚧 Under construction — no-training RefMod reference adapters for MiniMax H3 (compress reference images/videos into tiny latents, no training needed).
Learn Robotics with JdeRobot
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Python Bitcoin tools
TranslatedLet an Agent edit beat-synced transition cuts, and make a premium product promo video with one click
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
Admin CRUD interface for Pyramid, works with any backends.
Community maintained fork of https://github.com/dsacre/mididings
Centralized transaction management for Pyramid applications (without middleware)
Integration of SQLAlchemy with transaction management
I simple library to store/retrieve information in bitcoin transactions using OP_RETURN
SQLAlchemy provider for pyramid_sacrud.
ps_tree is extension for pyramid_sacrud which displays a list of records as tree. This works fine with models from sqlalchemy_mptt.