zzyy-gh's Stars
PrejudiceNeutrino/YouTube_Channels
A comprehensive list of YouTube channels and other resources.
nicodesh/pelt-algorithm
PELT algorithm - Python implementation
aldengolab/hidden-markov-model
A from-scratch Hidden Markov Model for hidden state learning from observation sequences.
LKI/chinese-calendar
判断一天是不是法定节假日/法定工作日(查看节假日安排)
yantijin/ScoreGradPred
Code for *ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models*
mementum/backtrader
Python Backtesting library for trading strategies
RVC-Project/Retrieval-based-Voice-Conversion-WebUI
Easily train a good VC model with voice data <= 10 mins!
camenduru/stable-diffusion-webui-colab
stable diffusion webui colab
wilsonhou/optiver-bot
Optiver bot for readytradeone comp
nout-kleef/HTB-VI
🥳 winner of the Optiver challenge: making your own trading bot 🤖
HackMelbourne/Optiver_RTG_Workshop
Learn to build an autotrader with Optiver's Ready Trader Go Simulator
kmanley/orderbook
A fast limit order book implementation in Python, inspired by voyager's winning 2011 QuantCup entry. (Also see kmanley/gorderbook, the Go version)
bigfatwhale/orderbook
Implementation of a orderbook data structure for LOB research capabilities.
Musonda2day/Asset-Portfolio-Management-usingDeep-Reinforcement-Learning-
This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep Reinforcement Learning (DRL). The work presented explores the use of Deep Reinforcement Learning in dynamically allocating assets in a portfolio in order to solve the Tactical Asset Allocation (TAA) problem.
changjulian17/DataSciencePortfolio
These are the projects I've completed at General Assembly
nicknochnack/Reinforcement-Learning-for-Trading
A walkthrough of using the gym-anytrading environment for reinforcement learning applications leveraging custom datasets.
linyiLYi/pose-monitor
“让爷康康”是一款手机 AI 应用程序,可以监测不良坐姿并进行语音提示
rogertrullo/PGM_solutions
These are my solutions to the assignments of the probabilistic graphical models class offered by coursera
jasonlovescoding/Coursera-ProbabilisticGraphicalModels
The homework assignments finished for the coursera specialization "Probabilistic Graphical Models"
mcharrak/probabilistic-graphical-models-PGM-representation-coursera-daphne-koller
These are my solutions for the programming assignments of the Coursera course Probabilistic Graphical Models Part 1: Representation by Daphne Koller.
mpesavento/probabilistic_graphical_models
Assignments associated with Stanford's associated course
kushagra06/CS228_PGM
🌀 Stanford CS 228 - Probabilistic Graphical Models
shenweichen/Coursera
Quiz & Assignment of Coursera
dheerajpatta/Coursera-1
Quiz & Assignment of Coursera
amanchadha/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
jessxphil/mathematics-of-machine-learning-pca
Programming Assignments for Imperial College London's Mathematics of Machine Learning: Principal Component Analysis (PCA) course.
bpietraga/coursera-mathematics-for-ml-pca
These are my solutions for 4 weeks of Principal Component Analysis course in Python.
govinda18/Financial-Engineering-and-Risk-Management-Part-I
shantanu1109/Coursera-DeepLearning.AI-Stanford-University-Machine-Learning-Specialization
This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.