leo9344

chinese-independent-developer

👩🏿‍💻👨🏾‍💻👩🏼‍💻👨🏽‍💻👩🏻‍💻**独立开发者项目列表 -- 分享大家都在做什么

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

MT-Reading-List

A machine translation reading list maintained by Tsinghua Natural Language Processing Group

LVM

awesome-python-scientific-audio

Curated list of python software and packages related to scientific research in audio

PhysGaussian

[CVPR 2024 Highlight] PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

diff-gaussian-rasterization

diffusion_reading_group

Diffusion Reading Group at EleutherAI

papers

AmortizedCausalDiscovery

Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

robustdg

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

ifsl

[NeurIPS 2020] Released code for Interventional Few-Shot Learning

CMB

CMB, A Comprehensive Medical Benchmark in Chinese

simplicitybiaspitfalls

The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)

NOTE

The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"

ViTTA

Video Test-Time Adaptation for Action Recognition (CVPR 2023)

AVGN

Official implementation for AVGN

UniDG

Towards Unified and Effective Domain Generalization

LSSAE

The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"

IRMCon

CIM

Causal Imitative Model official code

petal

Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)

ColorMNIST

Implementation of ColorMNIST (in a DataLoader for PyTorch)

Training-for-the-Future

Official code release for the NeurIPS 2021 article Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time

Transfer-Learning-Study

learning materials

EDG-DDA

Directional Data Augmentation (DDA)

cl-as-seq

Official code for NeurIPS 2023 paper "Recasting Continual Learning as Sequence Modeling"

Comprehensive-practice-of-intelligent-chip-system-design

COPY: Comprehensive practice Of intelligent chiP sYstem design

Decoupled-Unbiased-Teacher

CTL-Paper

continual transfer learning