INASIC

INASIC's Stars

• Textualize/rich

  Rich is a Python library for rich text and beautiful formatting in the terminal.

  Language:Python51.6k5391.4k1.8k

• dgtlmoon/changedetection.io

  The best and simplest free open source web page change detection, website watcher, restock monitor and notification service. Restock Monitor, change detection. Designed for simplicity - Simply monitor which websites had a text change for free. Free Open source web page change detection, Website defacement monitoring, Price change notification

  Language:Python23.2k1011.3k1.3k

• srush/GPU-Puzzles

  Solve puzzles. Learn CUDA.

  Language:Jupyter Notebook10.8k13135837

• qingsongedu/time-series-transformers-review

  A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

  2.7k641258

• Zymrael/awesome-neural-ode

  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

  1.4k566156

• twitter-research/tgn

  TGN: Temporal Graph Networks

  Language:Python1k2433198

• shubhomoydas/ad_examples

  A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

  Language:Python855366184

• vandit15/Class-balanced-loss-pytorch

  Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

  Language:Python7931019122

• woojeongjin/dynamic-KG

  Dynamic (Temporal) Knowledge Graph Completion (Reasoning)

  593314112

• mims-harvard/TFC-pretraining

  Self-supervised contrastive learning for time series via time-frequency consistency

  Language:Python46743385

• KieranWynn/pyquaternion

  A fully featured, pythonic library for representing and using quaternions

  Language:Python356105175

• patrick-kidger/signatory

  Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

  Language:C++268113235

• HongtengXu/PoPPy

  A Point Process Toolbox Based on PyTorch

  Language:Python1305528

• yangalan123/TemporalPointProcessPapers

  Paper lists for Temporal Point Process

  1116011

• facebookresearch/neural_stpp

  Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

  Language:Python10211824

• gdamaskinos/unsupervised_topic_segmentation

  Language:Python1022821

• Priya22/EmotionDynamics

  Repository for the LREC 2022 submission on Emotion Word Dynamics in Geolocated Tweet data.

  Language:Python921424

• shchur/ifl-tpp

  Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)

  Language:Python8442333

• yangalan123/anhp-andtt

  Codebase for Attentive Neural Hawkes Process (A-NHP) and Attentive Neural Datalog Through Time (A-NDTT)

  Language:Python582610

• babylonhealth/neuralTPPs

  Language:Shell29529

• guyrosin/temporal_attention

  Code and data for the paper "Temporal Attention for Language Models", Findings of NAACL 2022

  Language:Python25216

• shchur/tpp-anomaly-detection

  Implementation of "Detecting Anomalous Event Sequences with Temporal Point Processes" (NeurIPS 2021)

  Language:Jupyter Notebook24126

• EDAPINENUT/EDTPP

  Language:Python16147

• tonygracious/Temporal-Point-Process-TPP-

  This repository contains recent background materials, current works, and codes for researching in TPP.

  16104

• ajboyd2/vae_mpp

  Variational Autoencoders for Marked Point Processes

  Language:Python15105

• PDevNet/DevNet

  Language:Jupyter Notebook14318

• qiangning/TemProb-NAACL18

  Language:Java12251

• maxupp/ProjectPing

  Check websites for changes periodically

  Language:Python6204

• tonygracious/Hawkes_pytorch

  Pytorch Implementation of Hawkes Process

  Language:Python3100

• Maria-Liakata-NLP-Group/timeline_selection_and_evaluation

  Code for the paper "Creation and evaluation of longitudinal user posts", accepted at EACL 2023

  Language:Python2210