Masoud Kazemi's starred repositories

tensorflow

An Open Source Machine Learning Framework for Everyone

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models

Models and examples built with TensorFlow

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rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

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kotlin

The Kotlin Programming Language.

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streamlit

Streamlit — A faster way to build and share data apps.

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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go

The Open Source Data Science Masters

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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iosched

The Google I/O Android App

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pydantic

Data validation using Python type hints

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minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

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awesome-production-machine-learning

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

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

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fuzzywuzzy

Fuzzy String Matching in Python

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trax

Trax — Deep Learning with Clear Code and Speed

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stanza

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

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android-showcase

💎 Android application following best practices: Kotlin, Coroutines, JetPack, Clean Architecture, Feature Modules, Tests, MVVM, DI, Static Analysis...

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causalml

Uplift modeling and causal inference with machine learning algorithms

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nlpaug

Data augmentation for NLP

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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.

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oneDNN

oneAPI Deep Neural Network Library (oneDNN)

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koalas

Koalas: pandas API on Apache Spark

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pytracking

Visual tracking library based on PyTorch.

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SymSpell

SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

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kroki

Creates diagrams from textual descriptions!

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RapidFuzz

Rapid fuzzy string matching in Python using various string metrics

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gnome-pomodoro

A time management utility for GNOME based on the pomodoro technique!

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elasticsearch-learning-to-rank

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

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kotlindl

High-level Deep Learning Framework written in Kotlin and inspired by Keras

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