nogawanogawa's Stars
opendatalab/PDF-Extract-Kit
A Comprehensive Toolkit for High-Quality PDF Content Extraction
nlmatics/nlm-ingestor
This repo provides the server side code for llmsherpa API to connect. It includes parsers for various file formats.
explodinggradients/ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
agiresearch/OpenP5
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
huggingface/candle
Minimalist ML framework for Rust
lucidrains/recurrent-memory-transformer-pytorch
Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
Stability-AI/generative-models
Generative Models by Stability AI
taikinman/imker
An easy-to-use ML pipeline package for Python inspired by scikit-learn pipeline and PyTorch layers.
twitter/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
k-nasa/gid
Help project managers and project owners with easy-to-understand views of github issue dependencies.
Tohoku-University-Takizawa-Lab/neoSYCL
A SYCL Implementation for CPU and SX-Aurora TSUBASA
daac-tools/python-vaporetto
π₯ Vaporetto is a fast and lightweight pointwise prediction based tokenizer. This is a Python wrapper for Vaporetto.
masatakashiwagi/mlops-practices
This repository is a collection of MLOps case studies.
ir100/ir100
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takapy0210/paper
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st-tech/zr-obp
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
jstat/jstat
JavaScript Statistical Library
mpkato/interleaving
A python library for conducting interleaving, which compares two or multiple rankers based on observed user clicks by interleaving their results.
takapy0210/nlplot
Visualization Module for Natural Language Processing
upura/ayniy
Ayniy, All You Need is YAML
apexcharts/vue-apexcharts
π Vue 2 component for ApexCharts
hurutoriya/mlops-case-study
MLOps Case Study
m3dev/redshells
Machine learning tasks which are used with data pipeline library "luigi" and its wrapper "gokart".
m3dev/gokart
Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.