probeadd's Stars
networkit/networkit
NetworKit is a growing open-source toolkit for large-scale network analysis.
DGraphXinye/DGraphFin_baseline
This is a repository contaning baseline code for DGraphFin Dataset
Melkeydev/vscode_bindings
jihoo-kim/awesome-RecSys
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
harpribot/awesome-information-retrieval
A curated list of awesome information retrieval resources
MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
numeristical/resources
A collection of resources for learning and research.
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
python-poetry/poetry
Python packaging and dependency management made easy
data-folks/data-science-learning-path
Data Science Learning Path - A complete guide to learn data science for beginners
Mcompetitions/M4-methods
Data, Benchmarks, and methods submitted to the M4 forecasting competition
sydney-machine-learning/deeplearning_timeseries
Evaluation of shallow and deep learning models for multi-step-ahead time series prediction
safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
PracticalTimeSeriesAnalysis/BookRepo
Machine-Learning-Tokyo/__init__
udacity/hmm-tagger
Hidden Markov Model Part of Speech tagger project
udacity/artificial-intelligence
jmschrei/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
udacity/AIND-NLP
Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
pymc-devs/pymc-resources
PyMC educational resources
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
sudharsan13296/Getting-Started-with-Google-BERT
Build and train state-of-the-art natural language processing models using BERT
curiousily/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
pytorch/xla
Enabling PyTorch on XLA Devices (e.g. Google TPU)
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
pock/pock
Widgets manager for MacBook Touch Bar
budiryan/ndsc-2020
First Place Solution for Shopee's National Data Science Challenge 2020
sktime/pytorch-forecasting
Time series forecasting with PyTorch
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.