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Tensor is an NFT marketplace or protocol for buying, selling, minting, or trading digital collectibles.
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github.com
Perfect TensorFlow is an experimental wrapper of the TensorFlow C API that enables machine learning in server-side Swift. It builds with Swift Package Manager and can be used as part of the Perfect project or as an independent module. The framework conforms to TensorFlow v1.8.0 C API functionality.
github.com
TensorFlow Fold is a library for creating TensorFlow models that consume structured data, where the computation graph depends on the structure of the input data. It implements dynamic batching, transforming batches of arbitrarily shaped computation graphs into a static computation graph. TensorFlow Fold is not an official Google product.
github.com
A curated GitHub list of TensorFlow experiments, libraries and projects, with sections for tutorials, models, tools, videos, papers and books. It describes TensorFlow as an open source software library for numerical computation using data flow graphs.
github.com
Mesh TensorFlow is a tool designed to simplify model parallelism for distributed computation, hosted as a GitHub repository under the TensorFlow organization. The repository includes an introduction, guidance on use cases, and a getting started guide.
github.com
Tensor Trust is the source code for a web game and data cleaning pipeline described as a prompt injection attack game that collects data for adversarial ML research. The repository covers the game and pipeline and links to a paper and the game itself.
github.com
TensorFlow Model Optimization is a toolkit designed to optimize machine learning models for deployment for Keras and TensorFlow. It includes techniques such as quantization and pruning to reduce model size and improve inference performance.
tensorzero.com
TensorZero builds open-source tools for production-grade LLM applications, including an LLM gateway, observability, optimization, evaluations, and experimentation. The project remains available on GitHub but is no longer maintained. Its website is tensorzero.com.
github.com
List of awesome compiler projects and papers for tensor computation and deep learning.
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.
github.com
Flare is a Clojure library for building dynamic neural network graphs, described as similar to PyTorch and DynNet. It supports tensor operations, LSTM cells, one-dimensional CNNs and fixed embeddings, and uses Neanderthal as its tensor backend. The project states it is mostly for learning purposes.
seedtable.com
A page of content on TensorFlow, including academic papers and links to related topics.
github.com
Mars is an open source tensor-based unified framework for large-scale data computation. It scales numpy, pandas and scikit-learn, offering tensor, DataFrame and learn interfaces that resemble the original libraries. A session can be started locally or connected to an existing Mars cluster.
github.com
Netron is a viewer for neural network, deep learning and machine learning models. It supports formats including ONNX, TensorFlow Lite, PyTorch, TensorFlow, Core ML, OpenVINO, Keras, Caffe, Darknet, Safetensors and NumPy. It is available as a browser version and installers for macOS, Linux and Windows, plus a Python package. Experimental support exists for MLIR, JAX, GGUF and other formats.
github.com
Swift for TensorFlow is an archived GitHub repository describing an experiment in a next-generation machine learning platform that combined machine learning, compilers and differentiable programming. It was archived in February 2021, and the repository is read-only; the site states it will not receive further updates.
tensortrust.ai
Tensor Trust is a prompt injection attack and defense game that invites users to fool AI language models and climb a leaderboard. The site is part of a research project studying prompt injection vulnerabilities in AI systems, using crowdsourced submissions to help researchers build more reliable AI.
tensorflow.org
TensorFlow is an end-to-end open source machine learning platform. It provides a flexible ecosystem of tools, libraries, and community resources for machine learning development, including libraries for web, mobile, edge, and production ML pipelines, as well as pre-trained models, datasets, and educational resources for users.
github.com
TensorLayer is an open-source deep learning and reinforcement learning library designed for scientists and engineers. Hosted on GitHub, the project offers design feature documentation, multilingual resources, and extensive example materials to support use.
github.com
Inference engine for TensorRT on Nvidia GPUs.
github.com
tfdeploy is a GitHub repository that enables deployment of TensorFlow graphs for fast evaluation and export to environments without TensorFlow using NumPy. It supports ensemble models and optimization for efficient inference.
activeloop.ai
Activeloop is the company behind Deeplake, described as a GPU database for agents. Its stack lists three surfaces: Deeplake, a database combining vector and tensor storage with GPU streaming to fine-tuning; Hivemind, which turns agent traces into shared organization memory; and Refinery, a software factory for continuous learning that includes database optimization, kernel generation and physical AI policy optimization.
aidevboard.com
AI Dev Jobs lists open positions for AI developers, covering technologies such as PyTorch, TensorFlow, LLMs, RAG, and computer vision, with salary data and requirements. It also provides a free public REST API and MCP server for AI job search, matching, and candidate-reviewed application preparation.
civarchive.com
A community-driven archive of models and files from CivitAI, formerly named CivitAI Archive. It offers search, verification and tracking of AI models using SHA256 hashing across CivitAI, HuggingFace, TensorArt, SeaArt, PixAI and other platforms and torrents.
github.com
AutoKeras is an AutoML library for deep learning built on Keras, developed by DATA Lab at Texas A&M University. The project describes its goal as making machine learning accessible to everyone. It can be installed with pip, and the documentation states it is currently only compatible with Python 3.7 or later and TensorFlow 2.8.0 or later.