DivyaGuo

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

fiftyone

The open-source tool for building high-quality datasets and computer vision models

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

motion-diffusion-model

The official PyTorch implementation of the paper "Human Motion Diffusion Model"

lightly

A python library for self-supervised learning on images.

solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

PFLlib

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

VideoMAE

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

transformer-time-series-prediction

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

LLM4Rec-Awesome-Papers

A list of awesome papers and resources of recommender system on large language model (LLM).

MotionBERT

[ICCV 2023] PyTorch Implementation of "MotionBERT: A Unified Perspective on Learning Human Motion Representations"

motion-latent-diffusion

[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model

ActionCLIP

This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"

GPT-GNN

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

pytorch_diffusion

PyTorch reimplementation of Diffusion Models

Nonstationary_Transformers

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

LLMRec

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

HTNet

HTFormer: Human Topology Aware Transformer for 3D Human Pose Estimation

WSDM2022-PTUPCDR

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

HD-GCN

[ICCV 2023] Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition

LIFT

Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)

semi_perso_user_cold_start

Source code from the KDD 2021 article "A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps" by L. Briand, G. Salha-Galvan, W. Bendada, M. Morlon and V.A. Tran

quovadis

Repository for the 'Quo Vadis, Skeleton Action Recognition ?' paper

SASA

Awesome-Skeleton-Based-Models

A systematic collection of various skeleton-based models (Datasets, Papers, Codes, Leaderboards).

ColdNAS

Code for ColdNAS: Search to Modulate for User Cold-Start Recommendation. WebConf 2023

FSAR

Federated Skeleton-based Action Recognition by Revisiting Human Topology Graph

CRRL

Implementation for "Contrast-Reconstruction Representation Learning for Self-Supervised Skeleton-Based Action Recognition".

ACL

3s-CACA for Self-Supervised Skeleton-Based Action Recognition