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github.com

dl4clj is a Clojure port of deeplearning4j. It provides stable features with tests, a neural networks DSL, early stopping, training, transfer learning and evaluation. The project is not yet released to Clojars.

AI Education & Learning 0
github.com

Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

AI Data & Analytics 0
github.com

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

AI Data & Analytics 0
github.com

Ready to use deeplearning docker images.

AI Education & Learning 0
github.com

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Models & Machine Learning 0
github.com

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.

Models & Machine Learning 0
github.com

SQL database that you can fork, clone, branch, merge, push and pull just like a git repository.

AI Data & Analytics 0
github.com

Tools for exploratory data analysis in Python.

AI Data & Analytics 0
github.com

Dorothy is a free and open source desktop app for orchestrating Claude Code, Codex, Gemini, Grok and local agents. It runs multiple agents simultaneously, each in an isolated PTY terminal session, and includes a Super Agent that delegates tasks to other agents via MCP tools, plus Kanban task management and scheduled tasks.

AI Coding & Development 0
github.com

Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.

AI Agents & Automation 0
github.com

A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.

AI Agents & Automation 0
github.com

dowel is a logger for machine learning research. It is installed with pip and used by importing dowel and adding outputs such as StdOutput and TensorBoardOutput, then logging messages and tabular records during training runs.

Models & Machine Learning 0
github.com

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Models & Machine Learning 0
github.com

dpnn is a package of deep extensions to the nn neural network library, providing extra modules and criterions beyond the main nn package. It includes modules such as Serial, Inception, ReverseTable, SpatialUniformCrop and SpatialGlimpse, plus modules and criterions for implementing the REINFORCE algorithm.

Models & Machine Learning 0
github.com

This GitHub repository hosts the official code for DragGAN, a project presented at the SIGGRAPH 2023 conference under the title 'Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold'. The repository includes links to web demos, requirements documentation, and instructions for running a Gradio visualizer in Docker.

AI Image Generation 0
github.com

Python library for scalable Bayesian optimisation.

Models & Machine Learning 0
github.com

Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.

AI Data & Analytics 0
github.com

Reading Wikipedia to answer open-domain questions.

Models & Machine Learning 0
github.com

DSP is a GitHub repository for DSP.jl, a Julia software package that provides digital signal processing functionality. The package includes tools for filter design, periodograms, window functions, and other related digital signal processing operations.

AI Business & Productivity 0

Biblos is a tool for semantic search and multi-layered analysis of Biblical texts, using Chroma and instructor-large embeddings for retrieval. Search results are summarized with Anthropic's Claude, and the tool includes Greek New Testament text, Dodson Greek Lexicon definitions and Church Fathers' commentaries. The web UI is built with Streamlit.

AI Search & Research 0
github.com

DSSTNE is an open source library from Amazon for training and deploying recommendation models with sparse inputs, fully connected hidden layers and sparse outputs. It is designed for production deployment emphasizing speed and scale, and supports multi-GPU training and prediction. The repository was archived and is read-only.

Models & Machine Learning 0
github.com

dstack is an open framework for confidential AI that runs containers inside confidential VMs with Intel TDX, using existing Docker Compose files. It supports attested workload identities and native NVIDIA Confidential Computing on H100 and Blackwell GPUs, with options for self-hosted TDX machines or Phala Cloud.

Models & Machine Learning 0
github.com

dstack is a unified orchestration layer for heterogeneous AI compute. It standardizes compute management and supports running training and inference workloads on GPU clouds, Kubernetes, virtual machines, or bare-metal clusters.

AI Agents & Automation 0