Stars
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
Deep Learning Audio Course – AI Masters
Deep Learning Audio Course, 2024
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
🕶 A curated list of Tiny Object Detection papers and related resources.
Deep Generative Models Course
Online Covariance and Correlation Estimation
Deep Generative Models course, 2022-2023
NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
🚗 Implementation of spatio-temporal graph convolutional network with PyTorch
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
this repository contains various languages programming tricks and samples
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
Simple package that provide colorable output into terminal
This repository presents workspace configure utility, that provides fast and simple setting your workspace;