Financial data platform for analysts, quants and AI agents.

Alfred is a wise AGI who can self Iteration

Building Applications with AI Agents

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

all of the workflows of n8n i could find (also from the site itself)

The best ChatGPT that $100 can buy.

Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch

Ipython notebooks for math and finance tutorials

machine learning and deep learning tutorials, articles and other resources

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

Deep Neural Network for Sentiment Analysis on Twitter

Multi-Task Deep Neural Networks for Natural Language Understanding

Emotion recognition using DNN with tensorflow

Code samples for my book "Neural Networks and Deep Learning"

PyTorch Tutorial for Deep Learning Researchers

Code for Tensorflow Machine Learning Cookbook

TensorFlow code and pre-trained models for BERT

CNN-RNN中文文本分类，基于TensorFlow

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI …

A Library for Field-aware Factorization Machines

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.

Learn how to develop, deploy and iterate on production-grade ML applications.

Machine learning, computer vision, statistics and general scientific computing for .NET