CompVis / stable-diffusion
A latent text-to-image diffusion model
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A latent text-to-image diffusion model
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
High-Resolution Image Synthesis with Latent Diffusion Models
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Open-source AI cookbook
Deep Learning System core principles introduction.
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Машинное обучение на ФКН ВШЭ
Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger
⚠LEIA A ISSUE FIXADA! Repositório do lab Contribuindo em um Projeto Open Source no GitHub da Digital Innovation One.
An open source implementation of CLIP.
Neural Networks: Zero to Hero
Code for Machine Learning for Algorithmic Trading, 2nd edition.
10 Weeks, 20 Lessons, Data Science for All!
🔊 Text-Prompted Generative Audio Model
Repository to store sample python programs for python learning
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
A multi-voice TTS system trained with an emphasis on quality
Free Data Engineering course!
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
Generative Representational Instruction Tuning