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Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
- decision-making
- large-language-models
- llm
- prompting
Segment Anything in High Quality [NeurIPS 2023]
- sam
- segmentation
- segment-anything
- zero-shot-segmentation
MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.
Text and supporting code for Think Stats, 2nd Edition
- data-science
- python
- statistics
- textbook
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
- gpu-acceleration
- large-language-models
- llm
- llm-inference
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
- machine-learning
- pattern-classification
- machine-learning-algorithms
Everything you need to know to build your own RAG application
- agentic-rag
- chatbot
- llm
- machine-learning
A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
- navier-stokes-equations
- cfd
- jupyter-notebook
- python
Build a modern LLM from scratch. Every line commented. Explained like we are five.
- attention-mechanism
- deep-learning
- educational
- from-scratch
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
- anki-addon
- spaced-repetition-algorithm
- anki
- deep-learning
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.
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
- huggingface
- peft
- transformers
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.
Repo for the Deep Learning Nanodegree Foundations program.
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 🚀.
- time-series
- time-series-forecasting
- deep-learning
- forecasting
SoTA LLM for converting natural language questions to SQL queries
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
- 3d
- computer-vision
- dynamic-scene
- gaussian-splatting
The Hunting ELK
- hunting
- elasticsearch
- kibana
- logstash
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
- iccv2019
- ocr
- ocr-recognition
- text-recognition
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
- phi3
- phi3-testing
- phi3-vision
- phi4
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
- deep-reinforcement-learning
- qlearning
- deep-learning
- tensorflow-tutorials