TinyFT: Lightweight Fine-Tuning Library
TinyFT is a lightweight, modular toy-scale library designed from scratch for fine-tuning LLMs.
DP-ZeRO Trainer
Differential Privacy experimentations, and implementation of Differential Privacy training with Zero Redundancy Optimizer support.
Daily Quantitative Trading backtesting.
A toy-scale CLI-based backtesting Quantitative Daily Trading system with support for various common trading strategies.