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anchor

Code for "High-Precision Model-Agnostic Explanations" paper

aspect-based-sentiment-analysis

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

awesome-artificial-intelligence

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

bert-ner

Pytorch-Named-Entity-Recognition-with-BERT

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

capsnet-tensorflow

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

capsule-networks

A Tensorflow implementation of Capsule Networks

categorybuilder

causalml

Uplift modeling and causal inference with machine learning algorithms

cleanlab

The standard package for data-centric AI and machine learning with label errors, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

code-vault

Collection of useful notebooks and snippets

conceptnet5

Code for building ConceptNet from raw data.

convokit

ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.

crewai-examples

Examples I was exploring for agent frameworks

curriculum

The open curriculum for learning web development

dash

Interactive, Reactive Web Apps for Python. Dash Is Productive™

data-analysis

Data Analysis Using Python

datascience

Curated list of Python resources for data science.

datasheets

Read data from, write data to, and modify the formatting of Google Sheets

developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

devika

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

explaining-in-style

explorative-search

Graph-based discovery of text documents

faust

Python Stream Processing