github.com
Deep learning in Rust, with shape checked tensors and neural networks.
Directory
Models & Machine Learning
Models and machine learning covers model hubs, research papers, training guides and evaluation tools. The topic mixes practical resources with reference material, so you will find repositories that host downloadable models next to sites that explain how a technique works. Some entries are collections of papers or benchmarks, and others are tutorials that walk through fine-tuning or deployment. It pays to compare the model licence, the training data, the hardware needed and the date of the last update. The field moves quickly, so verify version notes on the source before you build on anything listed here.
newsletter.diamant-ai.com
DiamantAI is a Substack newsletter authored by Nir Diamant that covers artificial intelligence. It publishes latest techniques, breakthroughs, insights, and unique tutorials for its over 40,000 subscribers. The newsletter is described as a top 0.1% AI resource and also maintains a GitHub repository on advanced RAG techniques with thousands of stars.
diffsharp.github.io
DiffSharp provides machine-learning models, research, training resources, or evaluation tools.
github.com
Dify is an open-source LLM app development platform with a visual canvas for AI workflows and RAG pipelines, plus model management and observability. It can be deployed on cloud, VPC, or self-hosted, and integrates with proprietary and open-source LLMs.
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.
distill.pub
Distill publishes articles about machine learning, including peer-reviewed explanations of neural network topics such as graph neural networks, feature visualization and feature-wise transformations. In a July 2, 2021 editorial, the team announced that after five years Distill would be taking a break.
github.com
Repository containing references and code for the book Distributed Machine Learning Patterns from Manning Publications by Yuan Tang. The book covers applying patterns to build scalable and reliable machine learning systems, constructing pipelines with data ingestion, distributed training and model serving, and automating tasks with Kubernetes, TensorFlow, Kubeflow and Argo Workflows.
Archived, read-only GitHub repository of free resources for learning machine learning with Python and Jupyter Notebook, including notebooks, courses and other links. It was first posted in 2016 and was archived by the owner on Jun 27, 2022.
github.com
A deep learning-based translation library between 50 languages, built with transformers.
dlib.net
Dlib is a C++ library whose image processing page documents routines for managing and manipulating images using array2d objects rather than an explicit image type. It lists pixel types including RGB, RGB alpha, HSI, HSV, LAB and grayscale, alongside functions for image I/O, object detection, feature extraction, filtering, scaling and rotating.
docketai.net
DocketAI — built on Replit. Update this description to reflect the app.
app.gitbook.com
Docs provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform.
freedomaingenerator.com
Free AI Domain Generator turns a project description into suggested domain names. Users enter a project topic and can choose style, length, topic options, quantity and domain extension. The tool checks live registrar data to filter out taken domains and compares live registration prices across providers including Namecheap, Porkbun and Dynadot.
dosu.dev
Dosu is knowledge infrastructure for engineering teams and the coding agents they work with. It keeps documentation, specifications and agent memory current with code changes, and connects to tools such as GitHub, GitLab, Slack, Notion and Confluence. A free plan covers public repositories with 200 credits per month; the Pro plan is listed at $16/month with 4,000 credits per month.
github.com
dowel is a logger for machine learning research. It is installed with pip and used by importing dowel and adding outputs such as StdOutput and TensorBoardOutput, then logging messages and tabular records during training runs.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
dpnn is a package of deep extensions to the nn neural network library, providing extra modules and criterions beyond the main nn package. It includes modules such as Serial, Inception, ReverseTable, SpatialUniformCrop and SpatialGlimpse, plus modules and criterions for implementing the REINFORCE algorithm.
github.com
Python library for scalable Bayesian optimisation.
huggingface.co
DressMe.AI provides machine-learning models, research, training resources, or evaluation tools.
github.com
Reading Wikipedia to answer open-domain questions.
github.com
DSSTNE is an open source library from Amazon for training and deploying recommendation models with sparse inputs, fully connected hidden layers and sparse outputs. It is designed for production deployment emphasizing speed and scale, and supports multi-GPU training and prediction. The repository was archived and is read-only.
github.com
dstack is an open framework for confidential AI that runs containers inside confidential VMs with Intel TDX, using existing Docker Compose files. It supports attested workload identities and native NVIDIA Confidential Computing on H100 and Blackwell GPUs, with options for self-hosted TDX machines or Phala Cloud.