A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

🔥 Machine Learning Notebooks

code for deep learning courses

Try out deep learning models online on Google Colab

Collection of google colaboratory notebooks for fast and easy experiments

Exercise notebooks for CVND.

NLP 领域常见任务的实现，包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。

Learn how to use PyTorch to solve some common NLP problems with deep learning.

A collection of PyTorch notebooks for learning and practicing deep learning

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

Docker image with Jupyter, Pytorch and CUDA GPUs supports.

🔥 A collection of PyTorch notebooks for learning and practicing deep learning

This repo contains Jupyter Notebooks, miscellaneous stuff.

Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.

Neural Turing Machines (NTM) - PyTorch Implementation