deep-ml.com
Deep ML supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Directory
Search results
Published directory entries matching your search.
Filters
api-docs.deepseek.com
This DeepSeek API documentation page lists models and per-token pricing. It describes the deepseek-flash and deepseek-v4-pro models, their features, context length, concurrency limits, and peak and off-peak token rates, and notes that the legacy names deepseek-v4-flash and deepseek-v4-flash-vision-exp are still accepted.
github.com
DeepSeek-R1 is the first-generation reasoning model family from DeepSeek, including DeepSeek-R1-Zero and DeepSeek-R1. The repository describes training via large-scale reinforcement learning and cold-start data, and open-sources the models plus six distilled dense models based on Llama and Qwen.
Convolutional-Recursive Deep Learning for 3D Object Classification[DEEP LEARNING].
introtodeeplearning.com
MIT 6.S191 is MIT's introductory program on deep learning methods, with applications in vision, robotics, medicine, language, game play, art and more. It is described as a high-intensity bootcamp teaching deep learning fundamentals, with lectures, software labs and a final project proposal competition. Prerequisites assume calculus and linear algebra.
github.com
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING].
neuralnetworksanddeeplearning.com
Neural Networks and Deep Learning is a free online book by Michael Nielsen. It teaches core concepts of neural networks and deep learning, covering handwriting recognition, backpropagation, and improving how neural networks learn. The work is licensed for copying and sharing but not for selling.
github.com
Better DeepSeek is an open-source browser extension that adds tools to the DeepSeek chat interface, including a customizable system prompt, persistent memory, and tag-based output. It can generate downloadable files, PowerPoint and Excel documents, and multi-file ZIP projects, and run Python in the browser. The project is described as unofficial and independent.
github.com
DeepEval is an open-source LLM evaluation framework, described as similar to Pytest but specialized for unit testing LLM apps. It provides evaluation metrics such as G-Eval, task completion, answer relevancy and hallucination, which use LLM-as-a-judge and other NLP models running locally. It can evaluate LLM apps end-to-end, complete agent trajectories, and individual agent steps.
github.com
A fast Clojure Tensor & Deep Learning library.
bishopbook.com
A book offering a comprehensive introduction to central ideas underpinning deep learning, intended for newcomers to machine learning and those already experienced in the field. It covers concepts relating to contemporary architectures and techniques and includes a self-contained introduction to probability theory. Hardback, PDF eBook, and a free-to-use online version are listed as access options.
github.com
deepface is a lightweight Python library for face recognition and facial attribute analysis. It supports analysis of age, gender, emotion, and race attributes from facial data. The project is hosted as an open source repository on GitHub.
deepl.com
DeepL Language Translator is a translation service that provides instant text and full document translation. It also offers real-time voice translation, writing enhancement tools, an API for building multilingual experiences, and integrations with productivity software. The service is used by over 200,000 businesses globally, alongside individual users.
github.com
Deeplearning4j is an open-source suite of tools for deploying and training deep learning models using the Java Virtual Machine (JVM). It supports model import from Keras, TensorFlow, and ONNX/PyTorch, includes a modular C++ math library with a corresponding Java library built on top, and offers SameDiff, a library for deep learning operations similar to PyTorch and TensorFlow.
deepseek.com
DeepSeek provides machine-learning models, research, training resources, or evaluation tools.
huggingface.co
DeepSeek is a Chinese company founded in 2023 that focuses on developing artificial general intelligence (AGI). Its official Hugging Face organization page hosts its released models, datasets, and associated project spaces.
platform.deepseek.com
DeepSeek Platform provides machine-learning models, research, training resources, or evaluation tools.
github.com
DeepSeek-V3 is a Mixture-of-Experts language model with 671B total parameters and 37B activated per token. It uses Multi-head Latent Attention and DeepSeekMoE architectures, was pre-trained on 14.8 trillion tokens, and then underwent supervised fine-tuning and reinforcement learning. The repository provides the model weights and inference code.
github.com
DeepSeek-VL2 is a mixture-of-experts vision-language model designed for advanced multimodal understanding. Its public GitHub repository provides documentation including an introduction, release information, model download resources, and a quick start guide.
github.com
DIGITS, the Deep Learning GPU Training System, is a webapp for training deep learning models. The repository was archived by its owner on Jan 7, 2025 and is now read-only. NVIDIA states it is no longer adding features, fixing bugs, or supporting the software. Users can continue to use it if it meets their needs.
fast.ai
fast.ai is a project that publishes courses and software for deep learning, including Practical Deep Learning for Coders and the fastai library for PyTorch. The site also hosts blog posts on education, AI in society, and technical topics.
github.com
A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
github.com
Local Deep Research is a tool that achieves approximately 95% accuracy on the SimpleQA benchmark, with an example run using Qwen3.6-27B on an RTX 3090. It supports all local and cloud LLMs including llama.cpp, Ollama, and Google models, integrates over 10 search engines such as arXiv, PubMed, and private document sources, and operates with local and encrypted processing.
mxnet.apache.org
The MXNet Clojure package brings GPU computing and deep learning to the Clojure programming language. It enables tensor and matrix computation with multiple GPUs in Clojure, and allows constructing and customizing deep learning models for tasks such as image classification and data science challenges.