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A flexible and easy to use tool for serving PyTorch models.
Lets you create apps for your ML projects with deceptively simple Python scripts.
Python-free Rust inference server with OpenAI API compatibility and hot model swapping.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
LLM Ops platform with Analytics, Monitoring, Evaluations and an LLM Optimization Studio powered by DSPy.
An easy-to-use feature store. Optimized for time-series data.
Bayesian Inference Tools in Python.
Blazing fast short-text-topic-modelling for Python.
Cloud native AI, analytic and data management platform that supports the analytics life cycle.
Tutorial on Python time-series model deployment.
A temporal extension of PyTorch Geometric for dynamic graph representation learning.
Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.
This fast-paced intro to programming with Python will have you writing code, solving problems, and making cool projects in no time.
Multidimensional cluster generation in Python.
Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
A Python-inspired implementation of the Optimum-Path Forest classifier.
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
IPython notebooks for a complete course around understanding Nervana's Neon.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
A minimal, educational, Pythonic implementation of autograd (~100 loc).
Metric Learning Algorithms in Python.
A Python module for metric learning.