{"id":13476871,"url":"https://github.com/google/brain-tokyo-workshop","last_synced_at":"2025-05-15T18:01:58.589Z","repository":{"id":37677908,"uuid":"196148242","full_name":"google/brain-tokyo-workshop","owner":"google","description":"🧠🗼","archived":false,"fork":false,"pushed_at":"2024-07-09T17:49:39.000Z","size":64611,"stargazers_count":1263,"open_issues_count":31,"forks_count":339,"subscribers_count":37,"default_branch":"master","last_synced_at":"2025-03-31T21:49:05.533Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":["Jupyter Notebook","时间序列"],"sub_categories":["网络服务_其他"],"readme":"# Brain Tokyo Workshop 🧠🗼\n\nThis repo contains research materials released by members of the Google Brain team in Tokyo.\n\n## Past Projects ##\n\n### Weight Agnostic Neural Networks ###\n\n\u003cp align=\"left\"\u003e\n  \u003cimg width=\"50%\" src=\"https://media.giphy.com/media/nd0gBOAeT5YYutRRxx/giphy.gif\"\u003e\u003c/img\u003e\n\u003c/p\u003e\n\n[Code Release](https://github.com/google/brain-tokyo-workshop/tree/master/WANNRelease)\n\n[Link to Article](https://weightagnostic.github.io/) ([pdf version](https://arxiv.org/abs/1906.04358))\n\n### Learning to Predict Without Looking Ahead: World Models Without Forward Prediction ###\n\n\u003cp align=\"left\"\u003e\n  \u003cimg width=\"50%\" src=\"https://media.giphy.com/media/7gNy7xjBOZJFiD6T2F/giphy.gif\"\u003e\u003c/img\u003e\n\u003c/p\u003e\n\n[Code Release](https://github.com/google/brain-tokyo-workshop/tree/master/learntopredict)\n\n[Link to Article](https://learningtopredict.github.io/) ([pdf version](https://arxiv.org/abs/1910.13038))\n\n### Neuroevolution of Self-Interpretable Agents ###\n\n\u003cimg width=\"50%\" src=\"https://storage.googleapis.com/quickdraw-models/sketchRNN/attention/assets/card/attentionagent.gif\"\u003e\u003c/img\u003e\n\n[Code Release](https://github.com/google/brain-tokyo-workshop/tree/master/AttentionAgent)\n([Code for CarRacing Variants](https://github.com/google/brain-tokyo-workshop/tree/master/CarRacingExtension))\n\n\u003cimg width=\"50%\" src=\"https://storage.googleapis.com/quickdraw-models/sketchRNN/attention/assets/card/CarRacingExt2SmallSize.gif\"\u003e\u003c/img\u003e\n\n\n*[Extensions](https://github.com/google/brain-tokyo-workshop/tree/master/CarRacingExtension) to CarRacing-v0 environment released to facilitate future research.*\n\n[Link to Article](https://attentionagent.github.io/) ([pdf version](https://arxiv.org/abs/2003.08165))\n\n### Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts\n\n\u003cimg width=\"50%\" src=\"https://media.giphy.com/media/FsxTmSk3MIkDv7X6Eg/giphy.gif\"\u003e\u003c/img\u003e\n\n[Code Release](https://github.com/google/brain-tokyo-workshop/tree/master/es-clip)\n\n### The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning\n\u003cimg width=\"100%\" src=\"https://media.giphy.com/media/OZHNm0MqNLCE4MtN9j/giphy.gif\"\u003e\u003c/img\u003e\n\n[Code Release](https://github.com/google/brain-tokyo-workshop/tree/master/AttentionNeuron)  \n\n[Link to Article](https://attentionneuron.github.io/) ([pdf version](https://arxiv.org/abs/2109.02869))\n\n## Disclaimer\n\nThis is not an official Google product.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle%2Fbrain-tokyo-workshop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgoogle%2Fbrain-tokyo-workshop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle%2Fbrain-tokyo-workshop/lists"}