shandou

pyjanitor

Clean APIs for data cleaning. Python implementation of R package Janitor

haystack

:mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

MLND_capstone

Capstone project implementation, report, and proposal for Udacity Machine Learning Engineer Nanodegree

mmocr

OpenMMLab Text Detection, Recognition and Understanding Toolbox

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

search_fundamentals_course

Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/search-fundamentals?utm_source=daniel.

search_with_machine_learning_course

Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-with-machine-learning?utm_source=daniel.

shandou/search_with_machine_learning_course

Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-with-machine-learning?utm_source=daniel.

shandou/haystack

:mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

shandou/notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

shandou/search_fundamentals_course

Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/search-fundamentals?utm_source=daniel.

shandou/test_pytorch_gpu

shandou/Clean-Code-in-Python

Clean Code in Python, published by Packt

shandou/conda

OS-agnostic, system-level binary package manager and ecosystem

shandou/DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

shandou/dssm

An industrial-grade implementation of DSSM

shandou/feature-engineering-for-machine-learning

Code Repository for the online course Feature Engineering for Machine Learning

shandou/fuzzywuzzy

Fuzzy String Matching in Python

shandou/generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

shandou/gensim

Topic Modelling for Humans

shandou/gitpod_conda

Stores gitpod configs for using conda

shandou/langchain-academy

shandou/llama_index

LlamaIndex is a data framework for your LLM applications

shandou/ml-design-patterns

Software Architecture for ML engineers

shandou/openai-cookbook

Examples and guides for using the OpenAI API

shandou/pdpipe

Easy pipelines for pandas DataFrames.

shandou/pecos

PECOS - Prediction for Enormous and Correlated Spaces

shandou/pyjanitor

Clean APIs for data cleaning. Python implementation of R package Janitor

shandou/python-patterns

A collection of design patterns/idioms in Python

shandou/pytorch-widedeep

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

shandou/qdrant

Qdrant - Vector Search Engine and Database for the next generation of AI applications. Also available in the cloud https://qdrant.to/cloud

shandou/quantulum3

Library for unit extraction under active development - fork of quantulum

shandou/scikit-learn

scikit-learn: machine learning in Python

shandou/sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

shandou/sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

shandou/SpanBERT

Code for using and evaluating SpanBERT.

shandou/swarm

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.