A latent text-to-image diffusion model

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

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

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

A guidance language for controlling large language models.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

stable diffusion webui colab

Using Low-rank adaptation to quickly fine-tune diffusion models.

LLM-powered multiagent persona simulation for imagination enhancement and business insights.

『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)

Neo4j graph construction from unstructured data using LLMs

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

Python libraries for Google Colaboratory

Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning

Biological foundation modeling from molecular to genome scale

Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM

Port of Single Shot MultiBox Detector to Keras

Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.

This is the official repository for M2UGen

『ゼロから作る Deep Learning ❺』(O'Reilly Japan, 2024)

This is a python implementation for stitching images.

岩永二郎・石原響太・西村直樹・田中一樹 共著『Pythonではじめる数理最適化－ケーススタディでモデリングのスキルを身につけよう－』（オーム社、2021年）のサポートページです。

A cross-chain data generator. Contains a data extractor and a cross-chain transaction generator for multiple cross-chain protocols/bridges