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Application-oriented deep reinforcement learning framework addressing real-world decision problems.
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MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
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Merlin is a deep learning framework for the Julia programming language, hosted as a GitHub repository under the user hshindo. The repository includes documentation, installation instructions, and a quick start guide for users.
github.com
MindSpore is an open source deep learning training and inference framework that could be used for mobile, edge, and cloud computing scenarios. Its source code is hosted in the mindspore-ai/mindspore repository on GitHub.
github.com
ML-From-Scratch is a GitHub repository that provides bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility, aiming to cover methods from linear regression to deep learning.
github.com
MLKit is a simple machine learning framework written in Swift. Currently it features algorithms dealing with regression, with planned expansion to classification, clustering, recommender systems and deep learning. The project is under active development and is not ready for use in commercial or personal projects, and can be installed via CocoaPods as MachineLearningKit.
modelzoo.co
Discover open source deep learning code and pretrained models.
github.com
List of molecular design using Generative AI and Deep Learning.
github.com
N2D2 is an open source computer-aided design (CAD) framework developed for deep neural network (DNN) simulation and the construction of full DNN-based applications. It is maintained as a public code repository by the research organization CEA-LIST.
netron.app
Netron is a visualizer for neural network, deep learning, and machine learning models. It allows users to view model architectures and graphs. The tool is available as a web application at netron.app.
github.com
Netron is a viewer for neural network, deep learning and machine learning models. It supports formats including ONNX, TensorFlow Lite, PyTorch, TensorFlow, Core ML, OpenVINO, Keras, Caffe, Darknet, Safetensors and NumPy. It is available as a browser version and installers for macOS, Linux and Windows, plus a Python package. Experimental support exists for MLIR, JAX, GGUF and other formats.
nsynthsuper.withgoogle.com
NSynth Super is an open source experimental instrument that lets musicians play sounds generated by the NSynth algorithm. The NSynth algorithm uses a deep neural network to learn sound characteristics and synthesize new sounds from four source sounds. The interface can be played via any MIDI source, such as a DAW, sequencer or keyboard.
odysseus-dev.github.io
Odysseus is a self-hosted AI workspace for running language models on one's own hardware. It offers chat, autonomous agents, tools and MCP connections, model serving, an email assistant, deep research, model comparison and persistent memory. The project is described as local-first and privacy-first, with no telemetry.
github.com
An open-source cross-platform performance library for deep learning applications.
github.com
OneFlow is a performance-centered and open-source deep learning framework.
github.com
ONNX-Scala is an ONNX (Open Neural Network eXchange) API and backend built for typeful, functional deep learning and classical machine learning use cases in Scala 3. It is hosted as a public repository under the EmergentOrder GitHub organization.
cmusatyalab.github.io
OpenFace is a free and open source face recognition implementation with deep neural networks, written in Python and Torch and based on the CVPR 2015 FaceNet paper. It detects faces, aligns them, and embeds faces on a 128-dimensional unit hypersphere.
github.com
P-tuning v2 is an optimized deep prompt tuning strategy that applies continuous prompts to every layer input of a pretrained transformer. It is described as comparable to fine-tuning across scales and tasks.
github.com
Petastorm is a library developed by Uber for deep learning model training and evaluation. It supports single-machine and distributed workflows with datasets in Apache Parquet format, is compatible with TensorFlow, PyTorch, and PySpark, and can be used via pure Python code.
github.com
Pyro is a deep probabilistic programming library built on PyTorch, described as universal, scalable, minimal and flexible. It can represent any computable probability distribution and was originally developed at Uber AI, now maintained by community contributors including a team at the Broad Institute. It became a project of the Linux Foundation in 2019. It installs via pip as pyro-ppl.
github.com
A Python library for secure and private Deep Learning built on PyTorch and TensorFlow.
github.com
Deep learning framework to train, deploy, and ship AI products Lightning fast.
github.com
PyTorchCV is a PyTorch-based framework for deep learning in computer vision. The repository provides source code for computer vision problems, with implemented papers covering image classification, semantic segmentation, object detection, pose estimation and instance segmentation.
github.com
PyVarInf is a Python package that facilitates the use of Bayesian deep learning methods with variational inference for PyTorch, providing facilities to train PyTorch neural network models using variational inference. It approximates the posterior distribution over network weights with a parametric distribution.