YBIFoundation / Fundamental
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Inpaint anything using Segment Anything and inpainting models.
This is a workshop designed for Amazon Bedrock a foundational model service.
Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab
QLoRA: Efficient Finetuning of Quantized LLMs
Course Files for Complete Python 3 Bootcamp Course on Udemy
Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
A Bulletproof Way to Generate Structured JSON from Language Models
Natural Language Processing Tutorial for Deep Learning Researchers
Instruct-tune LLaMA on consumer hardware
吴恩达大模型系列课程中文版,包括《Prompt Engineering》、《Building System》和《LangChain》
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
An open-source, low-code machine learning library in Python
Benchmarking large language models' complex reasoning ability with chain-of-thought prompting
High-Resolution Image Synthesis with Latent Diffusion Models
A guidance language for controlling large language models.
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Falcon LLM with Chat UI using LangChain and Chainlit
Overview and tutorial of the LangChain Library
COCO API - Dataset @ http://cocodataset.org/
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
Cloud-native SIEM for intelligent security analytics for your entire enterprise.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...)
An open source implementation of CLIP.