-
Nanjing University
- Nanjing
-
07:06
(UTC +08:00) - http://www.lamda.nju.edu.cn/wangqiwei/
Highlights
- Pro
Lists (18)
Sort Name ascending (A-Z)
awesome
Debias
debias|OOD generalizationdistillation
DomainAdaptation
few-shot
Incremental Learning
Learning-to-Rank
LLM
long-tail
nlp
Noisy Label
open-set recognition
Optimizer
Out-of-distribution Detection
Rec
Representation Learning
self-supervised/contrastive learningtools
vit
Stars
Translations of TensorFlow documentation
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Vector (and Scalar) Quantization, in Pytorch
The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on Linear Attention
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
This is a Scrapy-based web-spider. It scrapes papers from TOP conferences and journals.
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Statistical Rethinking Course for Jan-Mar 2023
Now-Join-Us / OmniEvalKit
Forked from AIDC-AI/M3BenchThe code repository for "OmniEvalKit: A Modular, Lightweight Toolbox for Evaluating Large Language Model and its Omni-Extensions"
A summary of related works about flow matching, stochastic interpolants
This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers in this list investigate the learning behavior, generalizat…
Reading list for research topics in multimodal machine learning
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
🍞📝 Markdown WYSIWYG Editor. GFM Standard + Chart & UML Extensible.
C++ Mathematical Expression Parsing And Evaluation Library https://www.partow.net/programming/exprtk/index.html
搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
All notes and materials for the CS229: Machine Learning course by Stanford University
A curated list of Generative Recommender Systems (Paper & Code)