A domain specific language to express machine learning workloads.
☆1,767Apr 28, 2023Updated 3 years ago
Alternatives and similar repositories for TensorComprehensions
Users that are interested in TensorComprehensions are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Compiler for Neural Network hardware accelerators☆3,321May 11, 2024Updated 2 years ago
- a language for fast, portable data-parallel computation☆6,575Updated this week
- "Multi-Level Intermediate Representation" Compiler Infrastructure☆1,767Apr 22, 2021Updated 5 years ago
- ☆1,649Sep 11, 2018Updated 7 years ago
- Open Machine Learning Compiler Framework☆13,660Updated this week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Source-to-Source Debuggable Derivatives in Pure Python☆2,329Sep 29, 2022Updated 3 years ago
- Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.☆486Feb 12, 2022Updated 4 years ago
- ATen: A TENsor library for C++11☆720Nov 20, 2019Updated 6 years ago
- The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs☆1,365Apr 14, 2025Updated last year
- nGraph has moved to OpenVINO☆1,344Oct 15, 2020Updated 5 years ago
- Deep universal probabilistic programming with Python and PyTorch☆9,036Updated this week
- Caffe2 is a lightweight, modular, and scalable deep learning framework.☆8,373Feb 7, 2023Updated 3 years ago
- Collective communications library with various primitives for multi-machine training.☆1,440Jul 31, 2026Updated last week
- A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy https://visdom.dev☆10,268Updated this week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Make huge neural nets fit in memory☆2,842Apr 26, 2020Updated 6 years ago
- Open standard for machine learning interoperability☆21,278Updated this week
- Learning embeddings for classification, retrieval and ranking.☆3,956Dec 4, 2022Updated 3 years ago
- FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.☆26,370Nov 20, 2023Updated 2 years ago
- Training Very Deep Neural Networks Without Skip-Connections☆590Jun 9, 2018Updated 8 years ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,694Jul 29, 2026Updated last week
- DyNet: The Dynamic Neural Network Toolkit☆3,434Dec 1, 2023Updated 2 years ago
- TensorFlow-based neural network library☆9,944Jul 7, 2026Updated last month
- Acceleration package for neural networks on multi-core CPUs☆1,710Jun 11, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Implementations of ideas from recent papers☆389Dec 22, 2020Updated 5 years ago
- An End-To-End, Lightweight and Flexible Platform for Game Research☆2,091Aug 30, 2021Updated 4 years ago
- Symbolic Expression and Statement Module for new DSLs☆207Oct 6, 2020Updated 5 years ago
- A language-agnostic interface to TensorBoard☆781Nov 9, 2017Updated 8 years ago
- common in-memory tensor structure☆1,237Jun 19, 2026Updated last month
- Efficiently computes derivatives of NumPy code.☆7,519Updated this week
- PlaidML is a framework for making deep learning work everywhere.☆4,568Jul 23, 2023Updated 3 years ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆743Jan 26, 2023Updated 3 years ago
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,550Aug 28, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Juli…☆20,813Oct 25, 2023Updated 2 years ago
- Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" (http://arxiv.org/abs/…☆395Mar 22, 2019Updated 7 years ago
- PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"☆2,719Jul 6, 2023Updated 3 years ago
- Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)☆2,106Jan 4, 2022Updated 4 years ago
- Efficient GPU kernels for block-sparse matrix multiplication and convolution☆1,069Jun 8, 2023Updated 3 years ago
- A polyhedral compiler for expressing fast and portable data parallel algorithms☆961Jul 21, 2026Updated 2 weeks ago
- Low-precision matrix multiplication☆1,845Jan 29, 2024Updated 2 years ago