Segment Anything in High Quality [NeurIPS 2023]
- sam
- segmentation
- segment-anything
- zero-shot-segmentation
Repository Index
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Text and supporting code for Think Stats, 2nd Edition
- data-science
- python
- statistics
- textbook
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
- machine-learning
- pattern-classification
- machine-learning-algorithms
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
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.
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 🚀.
- time-series
- time-series-forecasting
- deep-learning
- forecasting
SoTA LLM for converting natural language questions to SQL queries
Homepage for STAT 157 at UC Berkeley
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
Book_2_《可视之美》 | 鸢尾花书：从加减乘除到机器学习，欢迎批评指正
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
- deep-learning
- machine-learning
- python
- pytorch
This is Andrew NG Coursera Handwritten Notes.
- andrewng
- andrew-ng
- andrew-ng-course
- andrew-ng-machine-learning
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
- machine-learning
- multivariate-statistics
- pca
- regression
Jupyter notebooks from the scikit-learn video series
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
- python
- machine-learning
- deep-learning
- pytorch
TensorFlow 最新官方文档中文版
The fast.ai course notebooks
- deep-learning
- fastai
- jupyter-notebooks
- machine-learning
Open-source and strong foundation image recognition models.
- tag2text-iclr2024
- recognize-anything
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
- webgpu
- deep-learning
- stable-diffusion
- web-assembly