{"id":18057090,"url":"https://github.com/quantum-integrated-technologies/deepforge","last_synced_at":"2025-07-31T23:34:51.908Z","repository":{"id":259620498,"uuid":"875755556","full_name":"Quantum-Integrated-Technologies/DeepForge","owner":"Quantum-Integrated-Technologies","description":"DeepForge : framework for working with machine learning.","archived":false,"fork":false,"pushed_at":"2024-10-28T10:18:37.000Z","size":116,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2024-10-28T13:38:50.600Z","etag":null,"topics":["ai","artificial-intelligence","cuda","library","machine-learning","ml","neural-network"],"latest_commit_sha":null,"homepage":"","language":"Cuda","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Quantum-Integrated-Technologies.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-10-20T18:58:55.000Z","updated_at":"2024-10-28T10:18:41.000Z","dependencies_parsed_at":"2024-10-28T11:52:31.853Z","dependency_job_id":null,"html_url":"https://github.com/Quantum-Integrated-Technologies/DeepForge","commit_stats":null,"previous_names":["quantum-integrated-technologies/deepforge"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Quantum-Integrated-Technologies%2FDeepForge","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Quantum-Integrated-Technologies%2FDeepForge/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Quantum-Integrated-Technologies%2FDeepForge/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Quantum-Integrated-Technologies%2FDeepForge/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Quantum-Integrated-Technologies","download_url":"https://codeload.github.com/Quantum-Integrated-Technologies/DeepForge/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":222340215,"owners_count":16968841,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","artificial-intelligence","cuda","library","machine-learning","ml","neural-network"],"created_at":"2024-10-31T02:06:31.982Z","updated_at":"2024-10-31T02:06:33.290Z","avatar_url":"https://github.com/Quantum-Integrated-Technologies.png","language":"Cuda","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DeepForge : framework for working with machine learning.\n![DeepForgeIcon](./assets/img/img.png)\n\n*DeepForge is a high-performance machine learning framework built in C++, optimized for GPU acceleration with CUDA. Designed for demanding AI tasks, it offers powerful, scalable solutions for efficient deep learning model training and deployment, ideal for advanced research and production-grade applications.*\n\n[![GitHub stars](https://img.shields.io/github/stars/Quantum-Integrated-Technologies/DeepForge?style=social)](https://github.com/Quantum-Integrated-Technologies/DeepForge/stargazers)\n[![GitHub forks](https://img.shields.io/github/forks/Quantum-Integrated-Technologies/DeepForge?style=social)](https://github.com/Quantum-Integrated-Technologies/DeepForge/forks)\n[![GitHub issues](https://img.shields.io/github/issues/Quantum-Integrated-Technologies/DeepForge)](https://github.com/Quantum-Integrated-Technologies/DeepForge/issues)\n[![GitHub license](https://img.shields.io/github/license/Quantum-Integrated-Technologies/DeepForge)](https://github.com/Quantum-Integrated-Technologies/DeepForge/blob/main/LICENSE)\n[![GitHub contributors](https://img.shields.io/github/contributors/Quantum-Integrated-Technologies/DeepForge)](https://github.com/Quantum-Integrated-Technologies/DeepForge/graphs/contributors)\n[![GitHub last commit](https://img.shields.io/github/last-commit/Quantum-Integrated-Technologies/DeepForge)](https://github.com/Quantum-Integrated-Technologies/DeepForge)\n[![GitHub release (latest by date)](https://img.shields.io/github/v/release/Quantum-Integrated-Technologies/DeepForge)](https://github.com/Quantum-Integrated-Technologies/DeepForge/releases)\n\n### Documentation:\nNothing\n\n## Highlights\n- **DeepForge is a powerful C++ library for building**, training, and deploying **CUDA-enabled neural networks**, designed for flexibility and performance. **Designed specifically for high-performance applications,** DeepForge offers an efficient, scalable toolkit that delivers seamless **GPU-accelerated computing** for deep learning tasks. With an intuitive API and modular architecture, DeepForge helps developers build their own models while optimizing resource usage and minimizing latency, making it ideal for both research and production environments.\n\n## Last version: `[Alpha 0.1.2]` - 31.10.2024\n\u003e - Tiny updates\n\n*To view all change logs, see the [CHANGELOG.md](./CHANGELOG.md) file.*\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantum-integrated-technologies%2Fdeepforge","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fquantum-integrated-technologies%2Fdeepforge","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fquantum-integrated-technologies%2Fdeepforge/lists"}