LLM101n: Let's build a Storyteller

A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework

Provide risk forecasts by Barra China Equity Model

SkyAGI: Emerging human-behavior simulation capability in LLM

SoftVC VITS Singing Voice Conversion

Train your own PetGPT at home!

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Code and documentation to train Stanford's Alpaca models, and generate the data.

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

A Modular platform to perform advanced back-testing in today's 24/7 crypto-currency market

Python SDK for IEX Cloud

High-performance TensorFlow library for quantitative finance.

Implementation of PINN (JCP2019) in JAX

Data and code for graph neural network accelerated molecular dynamics

A collection of full time roles in SWE, Quant, and PM for new grads.

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

Pytorch differentiable molecular dynamics

functorch is JAX-like composable function transforms for PyTorch.

Strategies for Pre-training Graph Neural Networks

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A Neural Network Approach for Real-Time High-Dimensional Optimal Control

Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms

🤖 An Open Source Texas Hold'em AI