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👾 resources and experiments for autonomous agents (e.g., language models, reinforcement learning, energy based models)
autismchatgptdeep-learninggpt-3machine-learningmarkov-chainopenaiquantum-aireinforcement-learningrustsupervised-machine-learning
![]() Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.11.1 to 2.12.1. - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](https://github.com/tensorflow/tensorflow/compare/v2.11.1...v2.12.1) --- updated-dependencies: - dependency-name: tensorflow dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com> |
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agents | ||
crypto_tokens | ||
EBMs | ||
GPT3.5 | ||
RL | ||
.gitignore | ||
deep_learning_tldr.md | ||
README.md |
deep learning projects, code, resources
- 🤖 defi agents
- deep learning strategies for training defi agents.
- 🎓 reinforcement learning
- resources and projects training reinforcement learning environments.
- 🧬 quantumai
- my adaptation of openai's implicit generation and generalization in energy based models.
- 🦾 gpt3
- resources and projects on gpt3.
- ⛓ crypto x ai
- research on crypto projects in the niche of blockchain-based ai (still very early though)
resources
- microsoft notes on ai agents
- ritual.net, integrate AI models into protocols
- the promise and challenges of crypto + AI applications, by vitalik
- on training defi agents with markov chains, by bt3gl
- google's jax (composable transformations of numpy programs)
- goat, the globally open ai transfer protocol
- machine learning engineering open book