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

### chapters

<br>

#### learnings

* **[deep learning](agents/deep_learning.md)**
* **[reinforcement learning](agents/reinforcement_learning.md)**
* **[strategy workflow](agents/strategy_workflow)**
* **[trading on gmx](agents/trading_on_gmx.md)**

<br>

#### quantum computing and machine learning

* **[energy-based models](EBMs)**: my adaptation of openai's implicit generation and generalization in energy based models

<br>

#### large language models

* **[gpt](gpt)**
* **[claude](claude)**

<br>

----

### cool resources

<br>

* **[cursor ai editor](https://www.cursor.com/)**
* **[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 vub](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)**
* **[machine learning engineering open book](https://github.com/stas00/ml-engineering)**
* **[advances in financial machine learning](books/advances_in_financial_machine_learning.pdf)**