handasontam's Stars
google-deepmind/open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
jwwthu/GNN-Communication-Networks
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
SimonWaldherr/HowTo-Deploy-LaTeX-Documents
Deploy LaTeX (and Markdown) Documents as PDF (and DjVu) via GitHub and TravisCI
mSvcBench/muBench
arvkevi/kneed
Knee point detection in Python :chart_with_upwards_trend:
XsLangley/CoCoS-AAAI2022
This is the code repository of AAAI2022 paper 'CoCoS: Enhancing Semi-Supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing'
rime/squirrel
【鼠鬚管】Rime for macOS
rime/rime-cantonese
Rime Cantonese input schema | 粵語拼音輸入方案
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
nmslib/nmslib
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
vEnhance/napkin
An Infinitely Large Napkin
uber/manifold
A model-agnostic visual debugging tool for machine learning
benedekrozemberczki/littleballoffur
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
networkit/networkit
NetworKit is a growing open-source toolkit for large-scale network analysis.
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.
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
TachibanaYoshino/AnimeGAN
A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to transform real-world photos into anime images.
paperswithcode/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
danspielman/Laplacians.jl
Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
tensorflow/quantum
Hybrid Quantum-Classical Machine Learning in TensorFlow
google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
uoguelph-mlrg/LDG
PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
explosion/thinc
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
sunfanyunn/InfoGraph
Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)
rapidsai/cugraph
cuGraph - RAPIDS Graph Analytics Library
karpathy/pytorch-normalizing-flows
Normalizing flows in PyTorch. Current intended use is education not production.
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.