Jonathan Rahn (jorahn)

jorahn

Geek Repo

Company:@42DIGITAL

Location:Hamburg, Germany

Home Page:https://jorahn.github.io/

Twitter:@rahnjonathan

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Organizations
rcs-analytics

Jonathan Rahn's repositories

llama-int8

Quantized inference code for LLaMA models

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3090_shorts

minimal LLM scripts for 24GB VRAM GPUs. training, inference, whatever

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blog

Personal blog

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context

Knowledge Management App

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llm.c

LLM training in simple, raw C/CUDA

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CLIP

Contrastive Language-Image Pretraining

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crewAI

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

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CrossAttentionControl

Unofficial implementation of "Prompt-to-Prompt Image Editing with Cross Attention Control" with Stable Diffusion

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Deep-Live-Cam

real time face swap and one-click video deepfake with only a single image (uncensored)

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diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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evaluate

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

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EveryDream

Advanced fine tuning tools for vision models

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hf_sft_openhermes

Instruction SFT of llm.c pre-trained model with OpenHermes2.5 dataset using HF

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L1B3RT45

JAILBREAK PROMPTS FOR ALL MAJOR AI MODELS

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llama-retrieval-plugin

LLaMa retrieval plugin script using OpenAI's retrieval plugin

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minDL

Minimalist Deep Learning Experiments in PyTorch & TensorFlow

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nanoGPT

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

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PaddleClas

A treasure chest for visual recognition powered by PaddlePaddle

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pyga

Python Google Analytics API Tools

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scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

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simple-local-rag

Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.

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stable-diffusion-webui

Stable Diffusion web UI

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StableTuner

Finetuning SD in style.

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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