jonas-schmitt Goto Github PK

aider

aider is AI pair programming in your terminal

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

azure-open-ai-embeddings-qna

A simple web application for a OpenAI-enabled document search. This repo uses Azure OpenAI Service for creating embeddings vectors from documents. For answering the question of a user, it retrieves the most relevant document and then uses GPT-3, GPT-3.5 or GPT-4 to extract the matching answer for the question.

azure-openai-in-a-day-workshop

chisel-bootcamp

Generator Bootcamp Material: Learn Chisel the Right Way

chisel-tutorial

chisel tutorial exercises and answers

circt

Circuit IR Compilers and Tools

codealpaca

continue

⏩ The easiest way to code with any LLM—Continue is an open-source autopilot for VS Code and JetBrains

evostencils

Automating the Design of Multigrid Methods with Evolutionary Program Synthesis

fmpy

Simulate Functional Mockup Units (FMUs) in Python

geneticengine

A Hybrid between Grammar-Guided and Strongly-Typed Genetic Programming in Python

hypre

Parallel solvers for sparse linear systems featuring multigrid methods.

kong

🦍 The Cloud-Native API Gateway and AI Gateway.

litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

llama.cpp

Port of Facebook's LLaMA model in C/C++

modia.jl

Modeling and simulation of multidomain engineering systems

modparc

modparc is a Modelica parser in Python based on parser combinator

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nn-zero-to-hero

Neural Networks: Zero to Hero

reference-fmus

Functional Mock-up Units for development, testing and debugging

replitlm

Inference code and configs for the ReplitLM model family

s3-2021

SIGEVO Summer School 2021 Modelling Projects

sc2-optimizer

Simulate and optimize fights in StarCraft II

tabby

Self-hosted AI coding assistant

thesis

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs