Behnaz Nojavanasghari's repositories

alibi-detect

Algorithms for outlier and adversarial instance detection, concept drift and metrics.

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Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

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BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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captum

Model interpretability and understanding for PyTorch

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EmoPainChallenge2020

FG 2020 EmoPain Challenge: Pain-related Behavior Analysis

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Facial-Expressions-in-Dyadic-Interactions

Generating photorealistic facial expressions for multiple virtual identities in dyadic interactions by using the GAN model.

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fairscale

PyTorch extensions for high performance and large scale training.

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flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

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gensim

Topic Modelling for Humans

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kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

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keras

Deep Learning for humans

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models

Models and examples built with TensorFlow

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OpenFace

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

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openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

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Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

PySyft

A library for encrypted, privacy preserving machine learning

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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shap

A game theoretic approach to explain the output of any machine learning model.

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simulated-unsupervised-tensorflow

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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awesome-mlops

A curated list of references for MLOps

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DeepRecommender

Deep learning for recommender systems

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recommenders

Best Practices on Recommendation Systems

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generative-ai

Sample code and notebooks for Generative AI on Google Cloud

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stable-diffusion-webui

Stable Diffusion web UI

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