hbahadirsahin's Stars
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
huggingface/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
activeloopai/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
sktime/sktime
A unified framework for machine learning with time series
axa-group/Parsr
Transforms PDF, Documents and Images into Enriched Structured Data
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/causalml
Uplift modeling and causal inference with machine learning algorithms
dhowe/AdNauseam
AdNauseam: Fight back against advertising surveillance
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
magenta/ddsp
DDSP: Differentiable Digital Signal Processing
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
paperswithcode/releasing-research-code
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
coqui-ai/STT
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
teddykoker/torchsort
Fast, differentiable sorting and ranking in PyTorch
koaning/embetter
just a bunch of useful embeddings for scikit-learn pipelines
MilesCranmer/lagrangian_nns
Lagrangian Neural Networks
AntixK/PyTorch-Model-Compare
Compare neural networks by their feature similarity
ronikobrosly/causal-curve
A python package with tools to perform causal inference using observational data when the treatment of interest is continuous.
spotify/confidence
banditml/offline-policy-evaluation
Implementations and examples of common offline policy evaluation methods in Python.
cchallu/nbeatsx
lyeoni/prenlp
Preprocessing Library for Natural Language Processing
supsi-dacd-isaac/mbtr
Multivariate Boosted TRee
francois-meyer/time2vec
This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
clemkoa/ntm
Neural Turing Machines in pytorch
shriphani/polyglot-toolbox
Polyglot skipgram embeddings, and their many health benefits
tatterdemalion/django_automigrate
A script to run migrations during switching branches
pelinbalci/Bayesian-AB-Test
Notes for Bayesian AB Test