PDP-11's Stars
imanolperez/optimal-double-execution
Optimal Execution of Foreign Securities: A Double-Execution Problem with Machine Learning
apolanco3225/Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPG
Performing a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment that simulates stock prices.
AI4Finance-Foundation/Deep-Reinforcement-Learning-for-Stock-Trading-DDPG-Algorithm-NIPS-2018
Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.
AI4Finance-Foundation/FinRL-Trading
For trading. Please star.
ziglang/zig
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
msesia/cqr-comparison
A comparison of some conformal quantile regression methods.
yromano/cqr
Conformalized Quantile Regression
coq/coq
Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.
bighuang624/DSANet
Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".
smallGum/MLCNN-Multivariate-Time-Series
Codes for Multi-Level Construal Neural Network framework
LeiBAI/AGCRN
Adaptive Graph Convolutional Recurrent Network
xinychen/Tensor4ML
Tensor decomposition for machine learning (w/ Python implementation)
zalandoresearch/pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
nnzhan/MTGNN
zhoubolei/introRL
Intro to Reinforcement Learning (强化学习纲要)
qfettes/DeepRL-Tutorials
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
cycraig/MP-DQN
Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
shanglianlm0525/PyTorch-Networks
Pytorch implementation of cnn network
vincent-leguen/DILATE
Code for our NeurIPS 2019 paper "Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models"
lyhue1991/eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
raviksharma/bartosz-basics-of-haskell
Code and exercises from Bartosz Milewski's Basics of Haskell Tutorial
PKUAI26/Deep-Learning-Advanced-Topics
madd86/awesome-system-design
A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
cosmicpython/book
A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.
zynga/rl-bakery
RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.
pycaret/pycaret
An open-source, low-code machine learning library in Python
iswbm/magic-python
Python 黑魔法手册
Ly0n/awesome-robotic-tooling
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
google/latexify_py
A library to generate LaTeX expression from Python code.
huggingface/notebooks
Notebooks using the Hugging Face libraries 🤗