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🦜🔗 Build context-aware reasoning applications
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.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Natural Language Processing Tutorial for Deep Learning Researchers
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
《Python Cookbook》 3rd Edition Translation
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
TensorFlow Tutorials with YouTube Videos
Automatic extraction of relevant features from time series:
A series of large language models trained from scratch by developers @01-ai
Recipes for using Python's pandas library
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
Tutorials for creating and using ONNX models
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
中文nlp解决方案(大模型、数据、模型、训练、推理)
A library for debugging/inspecting machine learning classifiers and explaining their predictions
List of papers, code and experiments using deep learning for time series forecasting
Repository for benchmarking graph neural networks
Simplified implementations of deep learning related works
A python tutorial on bayesian modeling techniques (PyMC3)