Prediction Open Source Projects

End-to-End Object Detection with Transformers

Lime: Explaining the predictions of any machine learning classifier

Statsmodels: statistical modeling and econometrics in Python

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Build Graph Nets in Tensorflow

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Brings SQL and AI together.

Papers on Computational Advertising

NeuralProphet: A simple forecasting package

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

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

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

Assistive Context-Aware Toolkit (ACAT)

System design patterns for machine learning

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

The devkit of the nuScenes dataset.

List of papers, code and experiments using deep learning for time series forecasting

A Deep Learning Recommender System

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

Message Passing Neural Networks for Molecule Property Prediction

DeepMind's Tacotron-2 Tensorflow implementation

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"

This repository helps you learn Python and Machine Learning from scratch.

A high-level machine learning and deep learning library for the PHP language.

Source code accompanying O'Reilly book: Machine Learning Design Patterns

Tensorflow implementation of DeepFM for CTR prediction.

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easier but also ensure the quality of applications.

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

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

Using python and scikit-learn to make stock predictions

Natural Gradient Boosting for Probabilistic Prediction

A Keras port of Single Shot MultiBox Detector

Find big moving stocks before they move using machine learning and anomaly detection

For extensive instructor led learning

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.

[UNMAINTAINED] Automated machine learning for analytics & production

Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

MLBox is a powerful Automated Machine Learning python library.

Datasets, papers and books on AI & Finance.

A neural network library built in JavaScript

moDel Agnostic Language for Exploration and eXplanation

Machine Learning Platform and Recommendation Engine built on Kubernetes

proof of concept for a transformer-based time series prediction model

A low-latency prediction-serving system

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

StackNet is a computational, scalable and analytical Meta modelling framework

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.

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

RNN based Time-series Anomaly detector model implemented in Pytorch.

Machine learning for transportation data imputation and prediction.

32-bit Superscalar RISC-V CPU

Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car