langchain-ai / langchain
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🦜🔗 Build context-aware reasoning applications
《开源大模型食用指南》基于Linux环境快速部署开源大模型,更适合中国宝宝的部署教程
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Network…
Neural Networks: Zero to Hero
Official inference library for Mistral models
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
MTEB: Massive Text Embedding Benchmark
This is a workshop designed for Amazon Bedrock a foundational model service.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Segment Anything in Medical Images
An open-source, low-code machine learning library in Python
Course Files for Complete Python 3 Bootcamp Course on Udemy
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image