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Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].

Deep-Live-Cam is a video tool for encoding, conversion, repair, playback, editing, or processing workflows.

DeepAA

github.com

DeepAA helps clean, compare, sort, transform, count, or format text in the browser.

DeepLAndroid is a code project with source, releases, documentation, or setup notes.

Deepr is a code project with source, releases, documentation, or setup notes.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.

The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.

A fast Clojure Tensor & Deep Learning library.

Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.

A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.

A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".

A deep research tool for searching academic sources, the web, and private documents with local or cloud LLMs. opensource.

blade-deepseek

github.com

A DeepSeek-native terminal coding agent in Rust with OS-level sandboxing, persistent goal mode, background tasks, and verification gates.

DeepSearch is a powerful Python-based OSINT utility that leverages Google's advanced search operators to perform comprehensive digital footprint analysis.

deepseek-ai/DeepSeek-Coder

github.com

A tool that experiments the motto "let the code write itself".

MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

Practical principles for building controllable LLM applications around deterministic software.

Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.

Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.

Awesome NLP with Ruby

github.com

Curated link list for practical natural language processing in Ruby.

Linux Command Library

github.com

Linux command reference with examples, explanations, flags, and practical command-line usage.

Tooling for giving AI systems richer capabilities and more flexible action patterns in practical workflows.

A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.

A platform for reproducible and scalable machine learning and deep learning on kubernetes.