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unit8co
A python library for user-friendly forecasting and anomaly detection on time series.
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Results: 475
unit8co
A python library for user-friendly forecasting and anomaly detection on time series.
xorbitsai
Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all throug…
dotnet
ML.NET is an open source and cross-platform machine learning framework for .NET.
datawhalechina
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
pyro-ppl
Deep universal probabilistic programming with Python and PyTorch
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
modelscope
ModelScope: bring the notion of Model-as-a-Service to life.
TheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
mage-ai
🧙 Build, run, and manage data pipelines for integrating and transforming data.
zergtant
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
bitsandbytes-foundation
Accessible large language models via k-bit quantization for PyTorch.
mikel-brostrom
BoxMOT: Pluggable python and c++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
py-why
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inferen…
afshinea
VIP cheatsheets for Stanford's CS 229 Machine Learning