Easily compute clip embeddings and build a clip retrieval system with them
- semantic-search
- deep-learning
- multimodal
- ai
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Easily compute clip embeddings and build a clip retrieval system with them
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
List of papers, code and experiments using deep learning for time series forecasting
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, Kaggle, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya, Midjourney, RunPod
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台,我们欢迎开源爱好者发起任何有意义的pr!
Examples, end-2-end tutorials and apps built using Liquid AI Foundational Models (LFM) and the LEAP SDK
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
A simple notebook demonstrating prompt-based music generation via Mubert API
Singing Voice Conversion via diffusion model
The /llms.txt file, helping language models use your website
FMA: A Dataset For Music Analysis
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
Repository for benchmarking graph neural networks (JMLR 2023)
computer vision projects | 计算机视觉相关好玩的AI项目(Python、C++、embedded system)
Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
Machine learning lessons and teaching projects designed for engineers
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.