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https://github.com/ericlbuehler/ericlbuehler


https://github.com/ericlbuehler/ericlbuehler

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# Eric Buehler

### mistral.rs
- [mistral.rs](https://github.com/EricLBuehler/mistral.rs)
- Blazingly fast LLM inference.
- [UQFF maker](https://github.com/EricLBuehler/uqff_maker/)
- Automated generation of UQFF models with mistral.rs.

### Libraries
- [Trc](https://github.com/EricLBuehler/trc)
- A faster Arc: a Rust thread reference counted smart pointer.
- [FlexRc](https://github.com/EricLBuehler/flexrc)
- Fast, flexible, and safe reference counted type.

### Programming Languages
- [Kestrel](https://github.com/EricLBuehler/kestrel)
- Simple and safe - a statically and strongly typed programming language that compiles to LLVM.
- [Falcon Programming Language](https://github.com/EricLBuehler/Falcon-Programming-Language)
- An interpreted programming language built using C++ that is very similar to Python.
- [Merlin](https://github.com/EricLBuehler/merlin)
- A dynamically and strongly typed programming language built in Rust that does not have a GIL and unleashes the power of multithreading.

### Machine Learning Libraries
- [candle-vllm](https://github.com/EricLBuehler/candle-vllm)
- Efficent platform for inference and serving local [Candle](https://github.com/huggingface/candle) LLMs including an OpenAI compatible API server.
- [candle-lora](https://github.com/EricLBuehler/candle-lora)
- LoRA implemented for the [Candle](https://github.com/huggingface/candle) machine learning framework.
- [candle-sampling](https://github.com/EricLBuehler/candle-sampling)
- Sampling techniques for [Candle](https://github.com/huggingface/candle).
- [candle_graphs](https://github.com/EricLBuehler/candle_graphs)
- Easy-to-use CUDA graph API for [Candle](https://github.com/huggingface/candle).
- [X-LoRA](https://github.com/EricLBuehler/xlora)
- X-LoRA: Mixture of LoRA Experts.
- [diffusion-rs](https://github.com/EricLBuehler/diffusion-rs)
- Blazingly fast inference of diffusion models.

### Machine Learning Applications
- [PerceiverIO Classifier](https://github.com/EricLBuehler/PerceiverIO-Classifier)
- An MNIST classifier built using PerceiverIO.
- [The Neuron](https://github.com/EricLBuehler/The-Neuron)
- A fully autonomous robot, with a detailed build guide.
- [CodingGPT](https://github.com/EricLBuehler/CodingGPT)
- A GPT-like autoregressive, decoder-only transformer trained on data scraped from Reddit programming and science subreddits.

## Mathematics
- [Automatic Differentiation](https://github.com/EricLBuehler/Automatic-Differentiation-Custom)
- My personal implementation of automatic differentiation, a method that powers ML and is used to calculate derivatives.
- [Proofling](https://github.com/EricLBuehler/Proofling)
- An automatic proof checker. Just plug in truth statements, and it will check for inconsistencies