## deep learning projects, code, resources
 
<br>

*  👉🏼 **[deep learning tl; dr](deep_learning_tldr.md)**

<br>

* 🤖 **[defi agents](agents)**
  * deep learning strategies for training defi agents.

<br>

* 🎓 **[reinforcement learning](RL)**
  * resources and projects training reinforcement learning environments.

<br>

* 🧬 **[quantumai](EBMs)**
  * my adaptation of openai's implicit generation and generalization in energy based models.
 
 
<br>

* 🦾 **[gpt3](GPT3.5)**
  * resources and projects on gpt3.

<br>

* ⛓ **[crypto x ai](crypto_tokens)**
  * research on crypto projects in the niche of blockchain-based ai (still very early though)


<br>

----

### resources

<br>

* **[microsoft notes on ai agents](https://github.com/microsoft/generative-ai-for-beginners/tree/main/17-ai-agents)**
* **[ritual.net, integrate AI models into protocols](https://ritual.net/)**
* **[the promise and challenges of crypto + AI applications, by vitalik](https://vitalik.eth.limo/general/2024/01/30/cryptoai.html)**
* **[on training defi agents with markov chains, by bt3gl](https://mirror.xyz/go-outside.eth/DKaWYobU7q3EvZw8x01J7uEmF_E8PfNN27j0VgxQhNQ)**
* **[google's jax (composable transformations of numpy programs)](https://github.com/google/jax)**
* **[goat, the globally open ai transfer protocol](https://ipfs.io/ipfs/QmYyucgBQVfs9JXZ2MtmkGPAhgUjNgyGE6rcJT1KybQHhp/index.html)**
* **[machine learning engineering open book](https://github.com/stas00/ml-engineering)**