FYI
Section: Deep Learning
Entry
Appears in 4 awesome lists
Deep learning visualization toolkit for metrics, graphs, embeddings and more, from PaddlePaddle.
Section: Deep Learning
Section: Machine Learning tools · Deep learning visualization toolkit for metrics, graphs, embeddings and more, from PaddlePaddle.
Section: Deep Learning
Section: Deep Learning
Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
Open-source AI observability & evaluation platform (Arize) — OpenTelemetry-native tracing for agents, LLM-as-judge evals, versioned datasets & experiments for prompt regression testing, prompt management with version control and replay, plus an MCP endpoint so Claude Code/Cursor can query traces…
This book covers many of the core concepts behind neural networks and deep learning.
Self-hosted ML experiment tracker designed to handle 10,000s of training runs with performant UI and SDK for programmatic access. Apache 2.0 licensed.
Practical Deep Learning for Coders 2022 is a free course offering hands-on experience in building, training, and deploying deep learning models across various domains using tools like PyTorch and fastai, suitable for those with coding knowledge and without the need for advanced math.
New series of 5 Deep Learning courses by Andrew Ng, now with Python rather than Matlab/Octave, and which leads to a specialization certificate.
yellowbrick is a matplotlib-based model evaluation plots for scikit-learn and other machine learning libraries.