calculusoflambdas

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

open_clip

An open source implementation of CLIP.

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

autogluon

Fast and Accurate ML in 3 Lines of Code

accelerate

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

animegan2-pytorch

PyTorch implementation of AnimeGANv2

doctr

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

ML-Notebooks

:fire: Machine Learning Notebooks

dalle-flow

🌊 A Human-in-the-Loop workflow for creating HD images from text

clip-retrieval

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

equinox

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

bigscience

Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.

vqgan-clip

informative-drawings

Unpaired line drawing generation

majesty-diffusion

Majesty Diffusion by @Dango233(@Dango233max) and @apolinario (@multimodalart)

glid-3-xl

1.4B latent diffusion model fine tuning

snug

bert-solr-search

Search with BERT vectors in Solr, Elasticsearch, OpenSearch and GSI APU

language_modeling_via_stochastic_processes

Language modeling via stochastic processes. Oral @ ICLR 2022.

minimal-gpt-neox-20b

cloob-latent-diffusion

CLOOB Conditioned Latent Diffusion training and inference code

streamlit-stream

A template for creating streamlit apps that consume streaming data

Centipede_Diffusion

Augmented_CLIP

Training simple models to predict CLIP image embeddings from text embeddings, and vice versa.

Colab-ESRGAN

You can use Google Colab to apply ESRGAN on your own images. Also high model compatibility because "old-arch" and "new-arch" models should work.

diffusion_gen

music_enhancement

Implementation for "Music Enhancement via Image Translation and Vocoding"

HM-Fashion-image-neural-search

H&M Fashion Image similarity search with Weaviate and DocArray

scodas-dbexplorer

loop over database tables using dynamic SQL via R, and and display results in shiny app