Machine Learning
Showing 36 of 1845 projects
A neural network trading strategy for Gekko cryptocurrency trading bot that predicts price movements using ConvNetJS.
Archived R package for accessing the Monkeylearn API for text classification and extraction.
An R package that automates load testing of APIs and ML models using Apache JMeter and provides result visualization.
Efficient inference implementation for Transformer models on edge devices, originally focused on OpenAI's Whisper speech recognition.
A collection of refactored, high-quality Android examples demonstrating TensorFlow Lite for on-device machine learning tasks.
A lightweight, platform-independent tensor library with autograd for the JVM, accelerated by OpenCL.
A research project investigating how packers affect the accuracy of static machine-learning malware classifiers.
A Delphi/Pascal binding for TensorFlow and Keras that enables Pascal developers to build, train, and deploy machine learning models.
A Python library for unsupervised learning of hidden semi-Markov models with explicit durations.
A ROS2 package that accelerates training and deployment of computer vision models for industrial applications.
A Python library for building, training, and deploying spiking neural networks with support for multiple simulation backends and neuromorphic hardware.
A neural network framework with automatic differentiation for building and training models in pure Object Pascal.
Crystal language bindings for the FANN (Fast Artificial Neural Network) C library.
A Clojure library for building and training neural networks with support for various architectures and learning algorithms.
A neural network-based password cracking tool using character-level RNNs to learn and generate password guesses.
A collection of code samples demonstrating how to use Azure's Language Understanding (LUIS) service for natural language processing.
A JAX library for building, training, and evaluating normalizing flows for probabilistic modeling.
TensorFlow implementation of hierarchical attention networks for document classification using GRU cells and attention mechanisms.
A Python package and tutorial collection for signal processing and machine learning, built on NumPy and SciPy.
A Torch package providing unsupervised learning modules and algorithms like autoencoders, PCA, and k-means.
A pre-configured Docker image with deep learning frameworks, data science tools, and GPU support for rapid environment setup.
A deep neural network package for Go, designed for simplicity and extensibility.
A Python webserver for setting up and running contextual multi-armed bandit experiments with customizable policies.
A Ruby gem providing high-performance gradient boosting with LightGBM for machine learning tasks.
Python library for audio augmentation, generating multiple audio files from a mono source with speed, tone, and amplitude modifications.
A package manager for machine learning datasets and models with a CLI and self-hostable registry.
A GPT-2 style transformer language model implemented from scratch in Rust for educational purposes.
A curated collection of books covering Artificial Intelligence, Machine Learning, Deep Learning, and Transformers for students and professionals.
A Python pipeline for multilingual text clustering using Latent Dirichlet Allocation with stop words removal, n-gram features, and inverse stemming.
A Python SDK for building, backtesting, and deploying AI-powered algorithmic trading bots for crypto markets across 100+ exchanges.
A Julia package for loading pretrained word embeddings like Word2Vec, FastText, and GloVe.
A Go module implementing multi-layer neural networks for machine learning tasks.
A TensorFlow-based model that generates descriptive captions for images using an Inception-v3 encoder and LSTM decoder.
Ruby interface to LIBLINEAR for machine learning classification and regression tasks using SWIG bindings.
A curated list of 257+ research papers on video generation, representation learning, and related topics like reinforcement learning.
![[Web]](/_next/image?url=https%3A%2F%2Fgithub.com%2Flongjon.png%3Fsize%3D40&w=96&q=75){kind=small}
A pre-release Caffe branch for fully convolutional networks (FCNs), now deprecated with features merged into Caffe master.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.