diyano's repositories
awesome-decision-transformer
A curated list of Decision Transformer resources (continually updated)
awesome-offline-rl
An index of algorithms for offline reinforcement learning (offline-rl)
Quantitative-analysis
量化研究-券商金工研报复现
DeepKoopmanWithControl
Soure code for Deep Koopman with Control
Awesome-Incremental-Learning
Awesome Incremental Learning
Ranger-Deep-Learning-Optimizer
Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
libeemd
clone from luuko's https://bitbucket.org/luukko/libeemd/
modular-rl
[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
TuringModels.jl
Turing version of StatisticalRethinking models.
mbsts
Multivariate Bayesian Structural Time Series in Stan
cvxpylayers
Differentiable convex optimization layers
aop
Codebase for Adaptive Online Planning
Brochure.jl
Julia编程指南
total_least_squares_code
Experiment code for our NeurIPS 2019 paper "Total Least Squares Regression in Input Sparsity Time"
qpsolvers
Quadratic Programming solvers in Python with a unified API
slac
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
d3s
Data-driven dynamical systems toolbox.
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 ;)
gcn
Implementation of Graph Convolutional Networks in TensorFlow
housing-model
Agent-based model of the UK housing market.
mesa
Mesa is an agent-based modeling framework in Python
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
fastai
The fastai deep learning library, plus lessons and tutorials
numpy-ml
Machine learning, in numpy
algorithms
Bug-tracking for Jeff's algorithms book, notes, etc.
nand2tetris
计算机系统要素-从零开始构建现代计算机
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
thesis
Differentiable Optimization-Based Modeling for Machine Learning