Repository Index

TensorFlow Tutorials

• tensorflow-tutorials
• convolutional-neural-networks
• recurrent-neural-networks

MONAI Tutorials

• monai
• monai-tutorials
• pytorch
• jupyter-notebook

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

• ai
• chromadb
• cookbooks
• faiss

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

• mathematics
• linear-algebra
• python
• jupyter

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

Algorithms for outlier, adversarial and drift detection

• anomaly
• outlier
• concept-drift
• detection

动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/

• large-language-models
• llm
• ollama
• tutorial

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

• pytorch
• deep-learning
• machine-learning
• computer-vision

Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。

• python
• python-tutorial
• numpy
• scipy

YoloV3 Implemented in Tensorflow 2.0

• tensorflow
• tf2
• yolo
• yolov3

A python tutorial on bayesian modeling techniques (PyMC3)

• bayesian-statistics
• tutorial
• pymc
• python

Coding the Machine Learning Tutorial for Learning to Learn

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

• machine-learning
• deep-learning
• python
• classification

Machine Learning Journal for Intermediate to Advanced Topics.

• data-science
• documentation
• large-language-models
• learning-resources

Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models

• ai
• fine-tuning
• model-training
• nemotron

Code for "GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates", Siggraph Asia 2024, TPAMI 2026

Official repository of 'Visual-RFT: Visual Reinforcement Fine-Tuning' & 'Visual-ARFT: Visual Agentic Reinforcement Fine-Tuning'’

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

• reinforcement-learning
• tensorflow

Financial Sentiment Analysis with BERT

Jupyter notebook and datasets from the pandas video series

• data-science
• jupyter-notebook
• python
• pandas

Handout for the tutorial "Creating publication-quality figures with matplotlib"

Synthetic data generators for tabular and time-series data

• gan-architectures
• gan
• deep-learning
• synthetic-data

Koç University deep learning framework.

• knet
• deep-learning
• julia
• machine-learning

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.