Python

🔧🔗https://github.com/elizaOS/LJSpeechTools

Tools for making LJSpeech datasets

🔧🔗https://github.com/elizaOS/agentmemory

Easy-to-use agent memory, powered by chromadb and postgres

🔧🔗https://github.com/yossifibrahem/Tools

Make LLM search web, write and run python codes

🔧🔗https://github.com/up-n-atom/xmlc Arris XMLC tool

🔧🔗https://github.com/modelcontextprotocol/create-python-server Create a Python MCP server

🔧🔗https://github.com/anthropics/rogue-deploy-eval

🔧🔗 meta-llama/llama-recipes Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs.

🔧🔗https://github.com/mutantstandard/forc Emoji font builder

🔧🔗https://github.com/martindines/ScreenshotServer

Screenshot Server Flask Application

🔧🔗https://github.com/IAHispano/Audio-Upscaler Versatile AI-driven audio upscaler to enhance the quality of any audio.

🔧🔗https://github.com/MultiTonic/dark-distill

A 😈😈 Dark ⚗️ AI Feedback framework for scalable LLM alignment

🔧🔗https://github.com/mlflow/recipes-classification-template

Template repo for kickstarting recipes for classification use case

🔧🔗https://github.com/mlflow/recipes-regression-template

Template repo for kickstarting recipes for regression use case

🔧🔗https://github.com/mlflow/mlflow-example

An example MLflow project

🔧🔗https://github.com/HeinleinSupport/proxmox-tools

Proxmox Tools

🔧🔗https://github.com/lucidrains/grokfast-pytorch

Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"

🔧🔗https://github.com/khoj-ai/timely Model training for date awareness in embeddings

🔧🔗https://github.com/coddingtonbear/jirafs

Edit your Jira tickets using locally-stored text files in a git/hg-inspired way

🔧🔗https://github.com/QwenLM/online_merging_optimizers Implementations of online merging optimizers proposed by Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment

🔧🔗https://github.com/astramind-ai/Mixture-of-depths Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"