A collection of learning resources for curious software engineers

Structured Text Generation

A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

Python supercharged for the fastai library

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

This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.

Optax is a gradient processing and optimization library for JAX.

Code for the paper "Learning Differential Equations that are Easy to Solve"

Concise deep learning for JAX

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

JAX-based neural network library

Fast and Easy Infinite Neural Networks in Python

Trax — Deep Learning with Clear Code and Speed

Detecting critical transitions in financial networks with topological data analysis.

MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice

A curated list of awesome shareholder letters

💸💸 Curated list of investment & finance related resources

Tools for Financial Modeling

Parse XBRL filings from the SEC's EDGAR in Python

Funcat 将同花顺、通达信、文华财经麦语言等的公式写法移植到了 Python 中。

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Repository for teachings on Quant Finance

A curated list of practical financial machine learning tools and applications.

High-performance TensorFlow library for quantitative finance.

Python Framework to make trades with the unofficial Robinhood API