XeniaLLL

LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

ATTA

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm [ICLR 2024]

awesome-shapley-value

Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

CV-Surveys

计算机视觉相关综述。包括目标检测、跟踪........

StyleFlow

StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)

awesome-normalization-techniques

Papers for normalization techniques, released codes collections.

awesome-reid-dataset

Collection of public available person re-identification datasets

machine-learning-imbalanced-data

Code repository for the online course Machine Learning with Imbalanced Data

awesome-imbalanced-learning

😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

BLNNbook

Bayesian Learning and Neural Networks (jupyter book sources)

paper-poster-presentation-template

A LaTeX template pack for ieeetran, sigchi, acm-sig-alternate, llncs2e, baposter, nccr-poster and beamer

awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

RSPapers

A Curated List of Must-read Papers on Recommender System.

RecBole2.0

An up-to-date, comprehensive and flexible recommendation library

DP-Sinkhorn_code

Keras-GAN

Keras implementations of Generative Adversarial Networks.

Apple-Silicon-Guide

Apple Silicon Guide. Learn all about the A17 Pro, A16 Bionic, R1, M1-series, M2-series, and M3-series chips. Along with all the Devices, Operating Systems, Tools, Gaming, and Software that Apple Silicon powers.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Recommender-Systems-with-Heterogeneous-Side-Information

The source code for "Recommender Systems with Heterogeneous Side Information", WWW 2019.

G-NIA

G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

DINO

Training code for Dual Inverse Network Optimisation

Probabilistic-Face-Embeddings

(ICCV 2019) Uncertainty-aware Face Representation and Recognition

CDAE

Collaborative Denoising Auto-Encoder (CDAE)

RS_Implicit_Feedback_PyTorch

PyTorch implementations of collaborative filtering methods with implicit feedback

opacus

Training PyTorch models with differential privacy

clustered-federated-learning

Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints

COPA

[ICLR 2022] COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

denoising-diffusion-gan

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

graph_distillation

Graph Distillation for Action Detection

awesome-GNN-distillation

papers of distilling Graph Neural Network