{"id":15394707,"url":"https://github.com/bensuperpc/easyai","last_synced_at":"2026-02-16T05:32:07.974Z","repository":{"id":107274503,"uuid":"526702136","full_name":"bensuperpc/EasyAI","owner":"bensuperpc","description":"Make your own AI easily !","archived":false,"fork":false,"pushed_at":"2023-12-06T15:26:43.000Z","size":88,"stargazers_count":3,"open_issues_count":1,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-06T09:44:44.927Z","etag":null,"topics":["ai","cuda","python","python3","tensorflow"],"latest_commit_sha":null,"homepage":"https://github.com/bensuperpc","language":"Python","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/bensuperpc.png","metadata":{"files":{"readme":"README.md","changelog":null,"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":"2022-08-19T17:48:33.000Z","updated_at":"2025-07-18T09:29:05.000Z","dependencies_parsed_at":null,"dependency_job_id":"bba56268-32a6-47e2-8bce-1344f4cf1427","html_url":"https://github.com/bensuperpc/EasyAI","commit_stats":{"total_commits":23,"total_committers":2,"mean_commits":11.5,"dds":0.08695652173913049,"last_synced_commit":"d37fe6262c358e2f647866685575e04f4e6873ac"},"previous_names":["bensuperpc/easyai"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/bensuperpc/EasyAI","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bensuperpc%2FEasyAI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bensuperpc%2FEasyAI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bensuperpc%2FEasyAI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bensuperpc%2FEasyAI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bensuperpc","download_url":"https://codeload.github.com/bensuperpc/EasyAI/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bensuperpc%2FEasyAI/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29500832,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-16T03:57:51.541Z","status":"ssl_error","status_checked_at":"2026-02-16T03:55:59.854Z","response_time":115,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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","cuda","python","python3","tensorflow"],"created_at":"2024-10-01T15:24:16.328Z","updated_at":"2026-02-16T05:32:07.959Z","avatar_url":"https://github.com/bensuperpc.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# EasyAI\n\n## _Make your own AI easily ! via tensorflow 2_\n\n[![EasyAI](https://github.com/bensuperpc/EasyAI/actions/workflows/base.yml/badge.svg)](https://github.com/bensuperpc/EasyAI/actions/workflows/base.yml)\n\n## Description\n\nThe main goal of this project is to create an AI easily using tensorflow\n\n## Software requirements\n\n- [Python 3.6+](https://www.python.org/downloads/)\n- [Tensorflow 2.4+](https://www.tensorflow.org/install)\n- [Tensorboard 2.4+](https://www.tensorflow.org/tensorboard/get_started)\n- [OpenCV 4.5+](https://pypi.org/project/opencv-python/)\n- [Git](https://git-scm.com/downloads)\n- [Docker](https://docs.docker.com/get-docker/)\n\n## Hardware requirements\n\nWe recommend using a GPU with Hardware Acceleration for Tensorflow.\n\n| Hardware | minimum | recommended |\n| --- | --- | --- |\n| CPU | 2 cores | 4 cores |\n| RAM | 4 GB | 8 GB |\n| GPU | 2 GB | 4 GB |\n\n## Usage\n\nGet help:\n\n```bash\npython3 EasyAI.py --help\n```\n\nLaunch training:\n\n```bash\npython3 EasyAI.py\n```\n\nLaunch training without GPU:\n\n```bash\npython3 EasyAI.py --no-gpu\n```\n\nLaunch training, save model and set dataset path:\n\n```bash\npython EasyAI.py --data_dir ./dataset/flower_photos --save test_AI.h5\n```\n\n## Example\n\nTrain a model with flowers dataset:\n\n```bash\npython EasyAI.py --save test_AI.h5\n```\n\nPredict images (**class_name order is important**):\n\n```bash\npython EasyAI.py --load test_AI.h5 --predict ./dataset/flower_photos/roses/ --class_name daisy dandelion roses sunflowers tulips\n```\n\n## Command table\n\n| Command | Description | Default | Example |\n| --- | --- | --- | --- |\n| --data_dir | Path to the data directory. | ./dataset/ | --data_dir ./dataset/ |\n| --save-model | Save model to a HDF5 file. | None | --save test_AI.h5 |\n| --load-model | Load model from a HDF5 file. | None | --load test_AI.h5 |\n| --predict | Predict images. | None | --predict ./dataset/flower_photos/roses/ |\n| --class_name | Class name. | None | --class_name daisy dandelion roses sunflowers tulips |\n| --no-gpu | Disable GPU. | False | --no-gpu |\n| --batch_size | Batch size. | 32 | --batch_size 32 |\n| --epochs | Number of epochs. | 10 | --epochs 10 |\n| --model_path | Path to the model. | None | --model_path ./model/ |\n| --tensorboard | Enable tensorboard (Slow). | False | --tensorboard |\n| --checkpoint | Enable checkpoint. | False | --checkpoint |\n\n## Done features\n\n- Working model\n- Tensorboard integration\n- GPU support\n- Load and save model\n- Data augmentation\n- Argument parser\n\n## Work in progress features\n\n- Data set generator\n- Load and save weights\n\n## Future features\n\n- Lite version\n- Docker image\n- pip package\n\n### Open source projects used\n\n- [tensorflow](https://github.com/tensorflow/tensorflow)\n- [tensorboard](https://github.com/tensorflow/tensorboard)\n- [opencv](https://github.com/opencv/opencv)\n- [git](https://github.com/git/git)\n- [docker](https://github.com/docker/docker)\n- [actions](https://github.com/actions/virtual-environments)\n\n## Licensing\n\n[MIT License](LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbensuperpc%2Feasyai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbensuperpc%2Feasyai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbensuperpc%2Feasyai/lists"}