Seth-Peters
Data Scientist, ex professional athlete in Finland, love for learning and data driven solutions.
Data Scientist @ FuturiceHelsinki, Finland
Seth-Peters's Stars
ollama/ollama
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
zylon-ai/private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
gpt-engineer-org/gpt-engineer
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
mem0ai/mem0
The Memory layer for your AI apps
microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
hyprwm/Hyprland
Hyprland is an independent, highly customizable, dynamic tiling Wayland compositor that doesn't sacrifice on its looks.
continuedev/continue
⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—language models
smol-ai/developer
the first library to let you embed a developer agent in your own app!
databrickslabs/dolly
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
artidoro/qlora
QLoRA: Efficient Finetuning of Quantized LLMs
karpathy/minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
huggingface/text-generation-inference
Large Language Model Text Generation Inference
PWhiddy/PokemonRedExperiments
Playing Pokemon Red with Reinforcement Learning
microsoft/promptbase
All things prompt engineering
superagent-ai/superagent
🥷 Run AI-agents with an API
NVIDIA/NeMo-Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
anyoptimization/pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
huggingface/datatrove
Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
sam-hosseini/freelancing-in-finland
The ultimate resource for transitioning to freelancing for software developers 👩💻🇫🇮
Sentdex/TermGPT
Giving LLMs like GPT-4 the ability to plan and execute terminal commands
GCBallesteros/NotebookNavigator.nvim
A neovim plugin to navigate and execute code cells
john-adeojo/use-tools
A simple project for enabling LLM agents to use tools.
mendableai/QA_clustering
Analyzing chat interactions w/ LLMs to improve 🦜🔗 Langchain docs
JayZeeDesign/sql-agent
rachhek/website_classifier_app
This project can classify a website from 11 different classes based on the text and metadata content scraped from the website. The machine learning model used for classification is Logistic Regression. It was trained on the text and metadata content from 59K+ websites using TF-IDF features after basic text pre-processing. It got an accuracy of 77.9%
jeannefukumaru/recipes-refactoring-example
Template repo for kickstarting recipes for regression use case
walterwhites/machine_learning