duggalsu's Stars
tattle-made/Uli
Software and Resources for Mitigating Online Gender Based Violence in India
Project-MONAI/MONAI
AI Toolkit for Healthcare Imaging
Substra/substra
Low-level Python library used to interact with a Substra network
GreenAlgorithms/green-algorithms-tool
mlco2/codecarbon
Track emissions from Compute and recommend ways to reduce their impact on the environment.
protontypes/open-sustainable-technology
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.
KimberlyMunoz/empathy-in-engineering
A curated list of resources for building and promoting more compassionate engineering cultures
folkswhocode/awesome-diversity
A curated list of amazingly awesome articles, websites and resources about diversity in technology.
FredJul/Flym
Flym News Reader is a light Android feed reader (RSS/Atom)
joeycastillo/The-Open-Book
huggingface/tflite-android-transformers
DistilBERT / GPT-2 for on-device inference thanks to TensorFlow Lite with Android demo apps
OpenNMT/CTranslate2
Fast inference engine for Transformer models
OpenNMT/OpenNMT-py
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
mozilla/TTS
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
laurencium/Causalinference
Causal Inference in Python
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
AMLab-Amsterdam/CEVAE
Causal Effect Inference with Deep Latent-Variable Models
tcassou/causal_impact
Python package for causal inference using Bayesian structural time-series models.
blei-lab/causal-text-embeddings
Software and data for "Using Text Embeddings for Causal Inference"
IBM-HRL-MLHLS/IBM-Causal-Inference-Benchmarking-Framework
Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
zachwooddoughty/emnlp2018-causal
Code for "Challenges of Using Text Classifiers for Causal Inference," at EMNLP '18
rpryzant/deconfounded-lexicon-induction
Find text features that are most related to an outcome, controlling for confounds.
BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
uhlerlab/causaldag
Python package for the creation, manipulation, and learning of Causal DAGs
amber0309/ANM-MM
Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"
mkusner/pci
Private Causal Inference
ContributorCovenant/beacon
A code of conduct reporting and management system created by Coraline Ada Ehmke, the author of the Contributor Covenant.