Machine Learning
Showing 36 of 1845 projects
Automated modeling and machine learning framework FEDOT
Framework and Library for Distributed Online Machine Learning
Open-source language models and tools for protein engineering and design using AI.
A hyperparameter-free gradient boosting machine with a simple budget parameter, built for high performance with Rust and bindings for Python and R.
TensorFlow port for AMD GPUs via ROCm, enabling machine learning on Radeon hardware.
A Python package for stacking (stacked generalization) with both functional and scikit-learn compatible APIs.
IPython-based environment for reproducible machine learning research with unified wrappers for multiple ML libraries.
An open-source, self-hostable meme search engine that uses AI to index and retrieve memes via semantic search.
A TensorFlow library for training, serving, and interpreting decision forest models like Random Forests and Gradient Boosted Trees.
A curated list of proven AI use cases that generate business value across departments and industries.
A Ruby library for building and serving predictive models with support for PMML and integration with Python and R models.
A Python library built on JAX for studying many-body quantum systems using neural networks and machine learning.
A diffusion framework for controllable protein sequence and evolutionary alignment generation using discrete diffusion models.
A fast, open-source platform for topic modeling using Additive Regularization of Topic Models (ARTM).
A Python library for structured learning and prediction with max-margin methods and a scikit-learn compatible interface.
An open-source implementation reproducing DeepMind's Atari-playing deep reinforcement learning system from their seminal 2013 paper.
A PyTorch adaptation of Lucid for visualizing and interpreting neural networks through feature visualization.
A fast, robust Python library to detect offensive language in text using a machine learning model.
A curated list of awesome Torch tutorials, projects, libraries, and communities for deep learning.
A high-performance C++/DPC++ library for accelerated machine learning on CPUs, GPUs, and distributed systems.
A lightweight, portable pure C99 ONNX inference engine for embedded devices with hardware acceleration support.
A Common Lisp machine learning library focusing on neural networks, Boltzmann machines, and Gaussian processes with BLAS and CUDA support.
A Python library that automates the tedious parts of exploratory data analysis with cleaning, feature engineering, visualization, and versioning.
A unified resource scheduler for co-scheduling batch, stateless, and stateful workloads in a single cluster to maximize resource utilization.
A Rust crate providing efficient implementations of common machine learning algorithms with support for dense and sparse data.
A curated list of deep learning resources for video-text retrieval, including papers, implementations, and datasets.
A JAX-native library of probability distributions and bijectors, reimplementing a subset of TensorFlow Probability with emphasis on readability and extensibility.
A low-level Gaussian process framework in JAX and Flax, designed for maximum flexibility and close alignment with mathematical notation.
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
A Julia package for fitting linear and generalized linear models with comprehensive statistical functionality.
A comprehensive roadmap chart and resource guide for aspiring data scientists, based on insights from Silicon Valley tech companies.
A Python library implementing nature-inspired meta-heuristic optimization algorithms for solving complex problems.
A collection of GPU-accelerated parallel game simulators for reinforcement learning, built with JAX.
Build fully-functioning computer vision and object detection models with PyTorch in just 5 lines of code.
Run ONNX transformer pipelines (like Hugging Face) natively in Go for inference and fine-tuning, with support for CPU, GPU, and TPU.
An OpenAI Gym environment wrapper for the CARLA autonomous driving simulator, enabling reinforcement learning research.
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