luyusheng1997's Stars
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
thu-ml/tianshou
An elegant PyTorch deep reinforcement learning library.
openblocks-dev/openblocks
🔥 🔥 🔥 The Open Source Retool Alternative
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
floodsung/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
HobbitLong/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
ml-jku/hopfield-layers
Hopfield Networks is All You Need
sudharsan13296/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
shubhomoydas/ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
YuliaRubanova/latent_ode
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
locuslab/trellisnet
[ICLR'19] Trellis Networks for Sequence Modeling
je-suis-tm/graph-theory
Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models including Bianconi-Barabási, Barabási-Albert, Watts-Strogatz, Waxman Model & Erdős-Rényi; graph theory algorithms involving Gillespie, Bron Kerbosch, Ramsey, Bellman Ford, A*, Kruskal, Borůvka, Prim, Dijkstra, DSatur, Randomized Distributed, Vizing, Topological Sort, DFS, BFS
salabim/salabim
salabim - discrete event simulation
prprbr/awesome-lifelong-continual-learning
A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning
locuslab/icnn
Input Convex Neural Networks
clinicalml/structuredinference
Structured Inference Networks for Nonlinear State Space Models
gabrielhuang/reptile-pytorch
A PyTorch implementation of OpenAI's REPTILE algorithm
samet-akcay/skip-ganomaly
Source code for Skip-GANomaly paper
RuiShu/dirt-t
A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)
sebastianruder/learn-to-select-data
Code for Learning to select data for transfer learning with Bayesian Optimization
vincentherrmann/wasserstein-notebook
Wasserstein / earth mover's distance visualizations
cangermueller/ppca
Probabilistic Principal Component Analysis
emedd33/Reinforcement-Learning-in-Process-Control
Master thesis spring 2019. Template to be futher used by the department of chemical engineering at NTNU,
TheShadow29/infnet-spen
TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"
NikhilGupta1997/LookOut
Beyond Outlier Detection: LookOut for Pictorial Explanation
seqam-lab/GPDA
ojrank/ojrank
Repository corresponding to OJRank. Learning On-the-Job to Re-rank Anomalies from Top-1 Feedback
RuiNian7319/WWTP
RL-Accelerated MPC for a nonlinear process
purgle10/PRML