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afml

All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

autograd

Efficiently computes derivatives of numpy code.

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

causal-inference-with-python

Causal Inference for The Brave and True 책의 한국어 번역 자료입니다.

cheatsheet_liealgebra

cheatsheet of all the basics notions of Lie algebra

dbow2

Enhanced hierarchical bag-of-word library for C++

deep-hedging

Deep Hedging Demo - An Example of Using Machine Learning for Derivative Pricing.

deep-learning-for-causal-inference

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.

deep-rl-class

This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.

deephedging

Implementation of the vanilla Deep Hedging engine

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

econometrics-with-python

Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques of basic econometrics, the theories are presented lightly without hustles of derivation and Python codes are straightforward.

finance_ml

Advances in Financial Machine Learning

lectures

make-a-video-pytorch

Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

ml-system-design-pattern

System design patterns for machine learning

mlops

👊 Build MLOps system step by step 👊

octis

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

pfhedge

PyTorch-based framework for Deep Hedging

pinns-1

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

qdrant

Qdrant - Vector Search Engine for the next generation of AI applications

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

riffusion

Stable diffusion for real-time music generation

rudder-server

Privacy and Security focused Segment-alternative, in Golang and React

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

tutorials

PyTorch tutorials.

zed-examples

ZED SDK Example projects