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Python-free Rust inference server with OpenAI API compatibility and hot model swapping.
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Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
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LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.
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An easy-to-use feature store. Optimized for time-series data.
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Bayesian Inference Tools in Python.
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Tutorial on Python time-series model deployment.
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A temporal extension of PyTorch Geometric for dynamic graph representation learning.
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Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
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Multidimensional cluster generation in Python.
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Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
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A Python-inspired implementation of the Optimum-Path Forest classifier.
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NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
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IPython notebooks for a complete course around understanding Nervana's Neon.
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Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
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A minimal, educational, Pythonic implementation of autograd (~100 loc).
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Metric Learning Algorithms in Python.
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A Python module for metric learning.
IPython notebooks from Data School's video tutorials on scikit-learn.
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Python materials for the online course on diffusion models by @huggingface.
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ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
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High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
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A fast Evolution Strategy implementation in Python.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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A Pythonic algorithmic trading library.