Pleurotusostreatus's Stars
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
awesome-selfhosted/awesome-selfhosted
A list of Free Software network services and web applications which can be hosted on your own servers
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
rust-unofficial/awesome-rust
A curated list of Rust code and resources.
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
dypsilon/frontend-dev-bookmarks
Manually curated collection of resources for frontend web developers.
google-research/google-research
Google Research
ggerganov/ggml
Tensor library for machine learning
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
rustformers/llm
[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models
Qiskit/qiskit
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
quantumlib/Cirq
A Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
piitaya/lovelace-mushroom
Build a beautiful Home Assistant dashboard easily
achillesrasquinha/bulbea
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
marella/ctransformers
Python bindings for the Transformer models implemented in C/C++ using GGML library.
rigetti/pyquil
A Python library for quantum programming using Quil.
IBM/clai
Command Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface.
rigetti/grove
Quantum algorithms built using pyQuil.
quantumlib/ReCirq
Research using Cirq!
quantumlib/OpenFermion-Cirq
Quantum circuits for simulations of quantum chemistry and materials.
sachink2010/AutomatedStockTrading-DeepQ-Learning
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
duemig/Stanford-Project-Predicting-stock-prices-using-a-LSTM-Network
Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).
rigetti/forest-benchmarking
A library for quantum characterization, verification, validation (QCVV), and benchmarking using pyQuil.
markf94/rigetti_training_material
Slide decks and Jupyter notebooks for training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.
jmcilhargey/chart-stock-market
A company tracking app that requests real time stock data via websocket connections and draws interactive graphs with d3.js and HTML5 canvas. Uses Twitter streaming data and algorithmic analysis to explore relationship between company performance and Twitter sentiment. HTML/CSS, Javascript, React, Node, Express, MongoDB, d3.js
rigetti/forest-tutorials
Binder repository of interactive tutorial notebooks for pyQuil and Forest.
CapstoneProject18/Stock-Market-Analysis
Main idea is to get an comprehensive idea about a certain stock with prediction values for next few days; sentiment analysis on the news related to stocks and many more visualizations with built in comparison feature which support a powerful search engine.
rigetti/pyquil-quantum-dice
Getting started with PyQuil: Quantum dice example