Theo Coombes (TheoCoombes)

TheoCoombes

Geek Repo

Location:London, United Kingdom

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Organizations
LAION-AI

Theo Coombes's repositories

ClipCap

Using pretrained encoder and language models to generate captions from multimedia inputs.

crawlingathome

A client library for LAION's effort to filter CommonCrawl with CLIP, building a large scale image-text dataset.

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crawlingathome-server

A server powering LAION's effort to filter CommonCrawl with CLIP, building a large scale image-text dataset.

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pyARSS

A Python wrapper for the Analysis & Resynthesis Sound Spectrograph (ARSS)

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CLIP_prefix_caption

Simple image captioning model

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Attack_on_LUX

A less boring version of LUX

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AudioCLIP

Source code for models described in the paper "AudioCLIP: Extending CLIP to Image, Text and Audio" (https://arxiv.org/abs/2106.13043)

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clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

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crawlingathome-fileserver

A server used for storing CPU workers' uploads, ready for GPU workers to complete.

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audio-data-pytorch

A collection of useful audio datasets and transforms for PyTorch.

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crawlingathome-gpu-hcloud

GPU controlled Hetzner Cloud workers swarm for Crawling@Home project

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crawlingathome-lite

A lightweight version of the Crawling@Home worker script, suitable for single-cored instances with 2GB of ram.

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crawlingathome-worker

Crawling@Home - Help us build a billion-scale image-caption dataset by filtering Common Crawl with OpenAI CLIP

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DeCLIP

Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm

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Dropbox-Downloader

A simple script to download files from dropbox

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embedding-reader

Efficiently read embedding in streaming from any filesystem

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hopfield-layers

Hopfield Networks is All You Need

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iximiner

CPU/GPU miner for Ixian blockchain

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Laiogen-Droplet-Tracker

Tracker server to spread the load of inference APIs for Laiogen over many droplet servers.

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redis-rate-limiters

Redis rate limiters

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simpleT5

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

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starlette

The little ASGI framework that shines. 🌟

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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