diyano

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

aop

Codebase for Adaptive Online Planning

awesome-decision-transformer

A curated list of Decision Transformer resources (continually updated)

Awesome-Incremental-Learning

Awesome Incremental Learning

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

Brochure.jl

Julia编程指南

cvxpylayers

Differentiable convex optimization layers

d3s

Data-driven dynamical systems toolbox.

DeepKoopmanWithControl

Soure code for Deep Koopman with Control

fastai

The fastai deep learning library, plus lessons and tutorials

gcn

Implementation of Graph Convolutional Networks in TensorFlow

housing-model

Agent-based model of the UK housing market.

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

libeemd

clone from luuko's https://bitbucket.org/luukko/libeemd/

mbsts

Multivariate Bayesian Structural Time Series in Stan

mesa

Mesa is an agent-based modeling framework in Python

modular-rl

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

nand2tetris

计算机系统要素-从零开始构建现代计算机

numpy-ml

Machine learning, in numpy

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

qpsolvers

Quadratic Programming solvers in Python with a unified API

Quantitative-analysis

量化研究-券商金工研报复现

Ranger-Deep-Learning-Optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase

RobustDMD.jl

slac

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

thesis

Differentiable Optimization-Based Modeling for Machine Learning

total_least_squares_code

Experiment code for our NeurIPS 2019 paper "Total Least Squares Regression in Input Sparsity Time"

TuringModels.jl

Turing version of StatisticalRethinking models.