Made With ML
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
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17–32 / 96
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Results: 96
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
explosion
💫 Industrial-strength Natural Language Processing (NLP) in Python
wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
TheAlgorithms
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
amark
An open source cybersecurity protocol for syncing decentralized graph data.
dair-ai
🔥Highlighting the top ML papers every week.
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
fivetran
Always know what to expect from your data.
LAION-AI
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
eriklindernoren
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from li…
eugeneyan
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
d2l-ai
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Camb…
alteryx
An open source python library for automated feature engineering
yzhao062
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic w…