Everything you need to know to build your own RAG application
- agentic-rag
- chatbot
- llm
- machine-learning
81,588 visible repositories in the index
217–240 of 676 · Most stars
Everything you need to know to build your own RAG application
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
Build a modern LLM from scratch. Every line commented. Explained like we are five.
A collection of guides and examples for the Gemma open models from Google.
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
The repository host gives no description.
OmniGen2: Exploration to Advanced Multimodal Generation. https://arxiv.org/abs/2506.18871
Qwen3-omni is a natively end-to-end, omni-modal LLM developed by the Qwen team at Alibaba Cloud, capable of understanding text, audio, images, and video, as well as generating speech in real time.
Single Shot MultiBox Detector in TensorFlow
Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
A simplified implemention of Faster R-CNN that replicate performance from origin paper
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
Useful functions, tutorials, and other Python-related things
This is Andrew NG Coursera Handwritten Notes.
中文nlp解决方案(大模型、数据、模型、训练、推理)
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的认可