ML NLP
NLP-LOVE
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
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Results: 428
NLP-LOVE
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
NVlabs
Instant neural graphics primitives: lightning fast NeRF and more
sktime
A unified framework for machine learning with time series
alteryx
An open source python library for automated feature engineering
pycaret
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
gorse-io
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
roboflow
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge model…
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…
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
sebastianruder
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.
catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…
pyro-ppl
Deep universal probabilistic programming with Python and PyTorch