5946 Open source projects that are alternatives of or similar to Tffm

some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

Implementing Siamese networks with a contrastive loss for similarity learning

Generative Adversarial Networks implemented in PyTorch and Tensorflow

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A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

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Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

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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 BERT.

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This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).

《深入浅出图神经网络：GNN原理解析》配套代码

Pytorch easy-to-follow Capsule Network tutorial

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

Solutions of Reinforcement Learning, An Introduction

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

This repository is intended to host tools and demos for ActivityNet

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Machine Learning University: Accelerated Tabular Data Class

strip output from Jupyter and IPython notebooks

Lane Finding Project for Self-Driving Car ND

Lecture notes and code for Machine Learning practical course on CMC MSU

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

鉴于我没有时间继续写这个东西，这个项目暂时废止

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Swift for TensorFlow

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Multi-user server for Jupyter notebooks

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

The Hitchhiker's Guide to Data Science for Social Good

Notebooks based on financial machine learning.

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Examples of matplotlib codes and plots

Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.

Markdown <=> IPython Notebook

Project for Digital Image Processing

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch