Repository Index

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

• audio
• machine-learning
• signal-processing
• audio-data

Track stocks, crypto, and derivatives prices and positions in real time from your terminal

• terminal
• stocks
• financial-markets
• terminal-app

A list of useful Java frameworks, libraries, software and hello worlds examples

• java-links
• java-frameworks
• awesome-list
• machine-learning

A scikit-learn compatible neural network library that wraps PyTorch

• scikit-learn
• pytorch
• machine-learning
• huggingface

🌊 Online machine learning in Python

• incremental-learning
• machine-learning
• python
• online-learning

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

• tensorflow
• graph
• darknet
• deep-learning

OpenCV wrapper for .NET

• opencv
• wrapper
• dotnet
• nuget

RocksDB/LevelDB inspired key-value database in Go

🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.

• python
• cloud-management
• configuration-management
• remote-execution

Uplift modeling and causal inference with machine learning algorithms

• incubation
• machine-learning
• causal-inference
• uplift-modeling

The Swift machine learning library.

• swift
• machine-learning
• deep-learning
• artificial-intelligence

header only, dependency-free deep learning framework in C++14

• c-plus-plus
• deep-learning
• machine-learning
• neural-network

A system for quickly generating training data with weak supervision

• machine-learning
• ai
• weak-supervision
• labeling

Production-safe dynamic tracing and diagnostics for Java applications—attach to live JVMs with no restart or recompilation.

• btrace
• java
• bytecode-instrumentation
• diagnostics

Gorgonia is a library that helps facilitate machine learning in Go.

• machine-learning
• artificial-intelligence
• neural-network
• computation-graph

A repo containing samples tied to new functionality in each release of Google Chrome.

common data analysis and machine learning tasks using python

• data-science
• python
• python-tutorial
• data-scientists

Generic command line non-JVM Apache Kafka producer and consumer

mlpack: a fast, header-only C++ machine learning library

• machine-learning-library
• c-plus-plus
• deep-learning
• nearest-neighbor-search

The Rocq Prover is an interactive theorem prover, or proof assistant. 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.

• proof-assistant
• coq
• theorem-proving
• dependent-types

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

• mlops
• machine-learning
• data-science
• production-ready

LIEF - Library to Instrument Executable Formats (C++, Python, Rust)

• reverse-engineering
• malware-analysis
• binary-analysis
• parser

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

• privacy-protection
• privacy-enhancing-technologies
• face-recognition
• adversarial-machine-learning

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.