francis's repositories
backtrader
Python Backtesting library for trading strategies
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
arctic
High performance datastore for time series and tick data
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
btgym
Scalable, event-driven, deep-learning-friendly backtesting library
C-Plus-Plus
All Algorithms implemented in C++
cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
dlib
A toolkit for making real world machine learning and data analysis applications in C++
FinRL-Library
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance.
finta
Common financial technical indicators implemented in Pandas.
ggml
Tensor library for machine learning
Go
Algorithms Implemented in GoLang
itch5parser
NASDAQ TotalView-ITCH 5.0 parsers written in C, Go and Rust
langchain
⚡ Building applications with LLMs through composability ⚡
llm
Access large language models from the command-line
mmdetection
Open MMLab Detection Toolbox and Benchmark
online-dt
Online Decision Transformer
pwa-ecom-ui-template
React/Next.js based starter kit, focused on delivering a rich Search & Discovery e-commerce experience.
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
redoc
📘 OpenAPI/Swagger-generated API Reference Documentation
whisper.cpp
Port of OpenAI's Whisper model in C/C++
workshops
This is a repository for all workshop related materials.