Text and supporting code for Think Stats, 2nd Edition
- data-science
- python
- statistics
- textbook
Repository Index
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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
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.
- attention-mechanism
- deep-learning
- educational
- from-scratch
A collection of guides and examples for the Gemma open models from Google.
- codegemma
- gemma
- paligemma
- recurrentgemma
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
- anki-addon
- spaced-repetition-algorithm
- anki
- deep-learning
OmniGen2: Exploration to Advanced Multimodal Generation. https://arxiv.org/abs/2506.18871
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
A simplified implemention of Faster R-CNN that replicate performance from origin paper
- pytorch
- object-detection
- faster-rcnn
- voc
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
- iccv2019
- ocr
- ocr-recognition
- text-recognition
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
Useful functions, tutorials, and other Python-related things
- python-tips
- learning-python
中文nlp解决方案(大模型、数据、模型、训练、推理)
- bert
- nlp
- transformers
- gpt2
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
- estimation
- perception
- robotics
- sensorfusion
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