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MikroKosmos
- San Francisco
- https://www.linkedin.com/in/messi-ki-20b3a4172/
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Language: Python
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All Algorithms implemented in Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Rich is a Python library for rich text and beautiful formatting in the terminal.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
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.
Data validation using Python type hints
Magenta: Music and Art Generation with Machine Intelligence
Best Practices on Recommendation Systems
Accelerate your web app development | Build fast. Run fast.
Multilingual Sentence & Image Embeddings with BERT
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Google AI 2018 BERT pytorch implementation
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Benchmarks of approximate nearest neighbor libraries in Python
A Python implementation of LightFM, a hybrid recommendation algorithm.
Mimesis is a robust data generator for Python that can produce a wide range of fake data in multiple languages.
An Open-Source Package for Neural Relation Extraction (NRE)
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Fast Python Collaborative Filtering for Implicit Feedback Datasets
StarGAN v2 - Official PyTorch Implementation (CVPR 2020)
Hummingbird compiles trained ML models into tensor computation for faster inference.
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW
A collection of research papers on decision, classification and regression trees with implementations.