Popular GitHub Repositories for Sports Prediction

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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

[NeurIPS 2024 Best Paper][GPT beats diffusion?] [scaling laws in visual generation?] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

Probabilistic time series modeling in Python

Cool experiments at the intersection of Computer Vision and Sports ??

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

NeuralProphet: A simple forecasting package

A unified, comprehensive and efficient recommendation library

StellarGraph - Machine Learning on Graphs

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

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

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

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

Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

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

A framework for large scale recommendation algorithms.