aitianma's Stars
sihyun-yu/REPA
Official Pytorch Implementation of Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
CompVis/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
eseckel/ai-for-grant-writing
A curated list of resources for using LLMs to develop more competitive grant applications.
princeton-vl/lietorch
KindXiaoming/pykan
Kolmogorov Arnold Networks
amazon-science/chronos-forecasting
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
DAMO-DI-ML/NeurIPS2023-One-Fits-All
The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"
awslabs/gluonts
Probabilistic time series modeling in Python
timeseriesAI/tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
facebookresearch/mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
openai/glide-text2im
GLIDE: a diffusion-based text-conditional image synthesis model
CompVis/stable-diffusion
A latent text-to-image diffusion model
facebookresearch/DiT
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
openai/guided-diffusion
google-research/bert
TensorFlow code and pre-trained models for BERT
yuqinie98/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
cbfinn/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Anduin2017/HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
floodsung/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
sudharsan13296/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
sudharsan13296/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
wzhaha/wireless-sensing-paper
无线感知相关论文
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
artix41/awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
SimonVandenhende/Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.