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Published directory entries matching your search.
CML, or Continuous Machine Learning, is an open-source CLI tool for implementing CI/CD with a focus on MLOps. It is used to automate development workflows, including machine provisioning, model training and evaluation, comparing ML experiments across project history, and monitoring changing datasets. It can generate a visual report with results and metrics automatically on every pull request, using GitLab, GitHub, or Bitbucket.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Conjecture is an open-source project hosted on GitHub that provides tools for scalable machine learning using the Scalding framework. It includes tutorials for creating training data, training classifiers, and evaluating classifiers.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
The Core torch7 demos repository is an open-source GitHub project that provides demos and tutorials for the Torch7 machine learning framework. It includes installation guides, Torch7 tutorials, and tutorials for third-party Torch7 packages.
FANN (Fast Artificial Neural Network) binding.
cs-video-courses is a GitHub repository or organization with source code, releases, documentation, or project resources.
cunn is a GitHub repository under the Torch organization that provides resources for the cunn project. The repository includes documentation for installation, usage, running unit tests, and GPU training concepts.
cutorch is a CUDA backend for Torch7. It provides a torch.CudaTensor type that behaves like torch.FloatTensor with operations on the GPU, along with other GPU tensor types limited to copying, conversion, and certain indexing and shaping operations. The cutorch module offers functions for setting the GPU, reading device properties and memory usage, and managing streams and seeds.
Dagster is an open source, cloud-native data pipeline orchestrator for the data development lifecycle, with integrated lineage and observability. Users declare data assets as Python functions, and Dagster runs them and keeps assets up to date. It is designed for developing and maintaining data assets such as tables, data sets, machine learning models, and reports.
Decision Tree Classifier and Regressor.
A fast Clojure Tensor & Deep Learning library.
DeepDetect is a deep learning runtime, command-line tool and REST server for training and inference. It provides Python wheel variants for CPU and GPU environments and a command-line interface with profiles such as object detection and semantic segmentation. YAML configuration files make runs repeatable. It handles images, text, tabular data, time series, object-detection boxes and segmentation masks through a single API surface.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
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.
Deep learning optimization library that makes distributed training easy, efficient, and effective.
An open source machine learning framework in Rust Δ.
Detecto is a Python package for building computer vision and object detection models with PyTorch. It supports inference on still images and videos, transfer learning on custom datasets, and serialization of models to files, and is distributed under an MIT license.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Deep learning in Rust, with shape checked tensors and neural networks.
Julia module for Distance evaluation.
