Popular GitHub Repositories for Risk Prediction

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

The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.

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

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

NeuralProphet: A simple forecasting package

A unified, comprehensive and efficient recommendation library

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.

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