JustM57's Stars
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
girafe-ai/ml-course
Open Machine Learning course
anticensority/runet-censorship-bypass
Web-extension for bypassing censorship in Russia
wubinzzu/NeuRec
Next RecSys Library
ocelma/python-recsys
A python library for implementing a recommender system
tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
WillianFuks/tfcausalimpact
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
FUlyankin/matstat-AB
Курс по матстату для онлайна :)
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
ServiceNow/N-BEATS
N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.
jdb78/pytorch-forecasting
Time series forecasting with PyTorch
neychev/made_nlp_course
lysukhin/vk-academy-dl-cv
"Basic Deep Learning" and "NNs for Computer Vision" courses materials at VK Data Academy.
CyberZHG/keras-bert
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
CSSEGISandData/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
tonyduan/normalizing-flows
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
dask/dask-tutorial
Dask tutorial
GoogleCloudPlatform/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
facebookresearch/dlrm
An implementation of a deep learning recommendation model (DLRM)
Project-OSRM/osrm-backend
Open Source Routing Machine - C++ backend
EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
catalyst-team/catalyst
Accelerated deep learning R&D
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
facebookresearch/XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
yandexdataschool/nlp_course
YSDA course in Natural Language Processing
ferdinandvanwyk/python_project_example
Simple example of a good project structure with pytest and sphinx implemented
kefirski/hybrid_rvae
pytorch implementation of "A Hybrid Convolutional Variational Autoencoder for Text Generation" Paper