xiaofangxd's Stars
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
pytorch/botorch
Bayesian optimization in PyTorch
wehos/awesome-graph-transformer
Papers about graph transformers.
google-deepmind/funsearch
rampasek/GraphGPS
Recipe for a General, Powerful, Scalable Graph Transformer
automl/awesome-transformer-search
A curated list of awesome resources combining Transformers with Neural Architecture Search
BorgwardtLab/SAT
Official Pytorch code for Structure-Aware Transformer.
Alro10/awesome-deep-neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
yeshenpy/Awesome-Evolutionary-Reinforcement-Learning
Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning
Evolutionary-Intelligence/DistributedEvolutionaryComputation
A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered in the current version.
firmai/tsgan
Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))
tomdbar/eco-dqn
Implementation of ECO-DQN as reported in "Exploratory Combinatorial Optimization with Reinforcement Learning".
qwerfdsaplking/Graph-Trans
A graph transformer framework
Evolutionary-Intelligence/EC-A-Modern-Perspective
Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now (1st Edition: from 2023 to 2027).
jejjohnson/gp_model_zoo
Literature and light wrappers for gaussian process models.
idea-iitd/GCOMB
aboustati/dgplib
Library for Deep Gaussian Processes based on GPflow
Dtrycode/ToupleGDD
Implementation of "ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning" (https://arxiv.org/abs/2210.07500)
mayanbiao1234/Geometric-metrics-for-perceptual-manifolds
Geometric metrics for perceptual manifolds in deep neural networks
gaoly/MOPN
siddarthk97/bonet
georgedeath/egreedy
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation
krishnateja95/Neural_Architecture_Search_Benchmark_Collection
qingquan63/FairEMOL
This is the code for the paper "Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning" in IEEE Transactions on Evolutionary Computation.
ryojitanabe/ecconf
Statistics of acceptance rates of the main evolutionary computation conferences
CMA-ES/moarchiving
A bi-objective nondominated archive class
nickoob/NuEMT
NuEMT is a new EMT algorithm that builds on the OpenAI-ES algorithm for continuous control tasks, based on the paper "Multitask Neuroevolution for Reinforcement Learning with Long and Short Episodes"