The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
- quantified-self
- activitywatch
- productivity
- time-tracking
Repository Index
47,133 repositories indexed
1–24 of 32 · Most stars
Performance analysis of predictive (alpha) stock factors
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
An open source tool to quantify the world
🦄 The Enterprise™ programming language
- enterprise
- disruptive-technology
- language
- ajax
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
An R package for the Quantitative Analysis of Textual Data
- r
- text-analytics
- natural-language-processing
- corpus
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
Pathology Foundation Model - Nature Medicine
- foundation
- foundation-model
- histopathology
- mahmoodlab
The repository host gives no description.
A standalone embedding of the FOSS drawio / mxgraph package into jupyterlab
A C++ header-only library of statistical distribution functions.
- stats
- cpp
- constexpr
- numerical-methods
The foundational library of the Morpheus data science framework
- datascience
- data-analysis
- data-analytics
- regression
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
- quantum-mechanics
- materials-informatics
- data-science
- machine-learning
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
- tensorflow-2
- tensorflow-lite
- on-device-ml
- model-quantization
Quantitative Economics
Compilado de recursos sobre Computação Quântica em português
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
- data-science
- deep-learning
- finance
- financial-data
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
- algotrading
- backtesting
- bollinger-bands
- cryptocurrency
Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant