Endri Kacupaj's starred repositories

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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flask

The Python micro framework for building web applications.

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

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faiss

A library for efficient similarity search and clustering of dense vectors.

NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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rough

Create graphics with a hand-drawn, sketchy, appearance

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haystack

:mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

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flair

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

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clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

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PaLM-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

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BERT-pytorch

Google AI 2018 BERT pytorch implementation

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ai-deadlines

:alarm_clock: AI conference deadline countdowns

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Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

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pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

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Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

mbrl-lib

Library for Model Based RL

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im2recipe-Pytorch

im2recipe Pytorch implementation

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mtrl

Multi Task RL Baselines

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opentapioca

Entity linking system for Wikidata updated by your edits in real time

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mtenv

MultiTask Environments for Reinforcement Learning.

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LASAGNE

Source code for paper "Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks"

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CONVEX

Code for our CIKM 2019 paper. As far as we know, CONVEX is the first unsupervised method for conversational question answering over knowledge graphs. A demo and our benchmark (and more) can be found at

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CONQUER

Code for our SIGIR'21 paper "Reinforcement Learning from Reformulations in Conversational Question Answering over Knowledge Graphs"

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CARTON

Source code for the paper "Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs"

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CONVINSE

Code for our SIGIR 2022 paper. CONVINSE is a framework for conversational question answering (ConvQA) over heterogeneous information sources.

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