Topic: tensor Goto Github
Some thing interesting about tensor
Some thing interesting about tensor
tensor,Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
User: andrewssobral
tensor,Open deep learning compiler stack for cpu, gpu and specialized accelerators
Organization: apache
Home Page: https://tvm.apache.org/
tensor,Open, Modular, Deep Learning Accelerator
Organization: apache
Home Page: https://tvm.apache.org/
tensor,Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
User: arogozhnikov
Home Page: https://einops.rocks
tensor,l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust
User: bilal2vec
tensor,Blitz++ Multi-Dimensional Array Library for C++
Organization: blitzpp
Home Page: https://github.com/blitzpp/blitz/wiki
tensor,⟨Grassmann-Clifford-Hodge⟩ multilinear differential geometric algebra
User: chakravala
Home Page: https://grassmann.crucialflow.com
tensor,PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
User: chenyuntc
tensor,Deep learning in Rust, with shape checked tensors and neural networks
User: coreylowman
tensor,Experimental tensor-typed deep learning
User: ctongfei
Home Page: https://tongfei.me/nexus/
tensor,⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
User: dgasmith
Home Page: https://dgasmith.github.io/opt_einsum/
tensor,DiffSharp: Differentiable Functional Programming
Organization: diffsharp
Home Page: http://diffsharp.github.io
tensor,common in-memory tensor structure
Organization: dmlc
Home Page: https://dmlc.github.io/dlpack/latest
tensor,The Egison Programming Language
Organization: egison
Home Page: https://www.egison.org
tensor,package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
Organization: gorgonia
tensor,LibRec: A Leading Java Library for Recommender Systems, see
User: guoguibing
Home Page: https://www.librec.net/
tensor,C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
User: hosseinmoein
tensor,Julia package for tensor contractions and related operations
User: jutho
Home Page: https://jutho.github.io/TensorOperations.jl/stable/
tensor,OCaml bindings for PyTorch
User: laurentmazare
tensor,Library for specialized dense and sparse matrix operations, and deep learning primitives.
Organization: libxsmm
Home Page: https://libxsmm.readthedocs.io/
tensor,Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Organization: mars-project
Home Page: https://mars-project.readthedocs.io
tensor,MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
Organization: megengine
Home Page: https://megengine.org.cn/
tensor,A list of awesome compiler projects and papers for tensor computation and deep learning.
User: merrymercy
tensor,A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
User: mratsim
Home Page: https://mratsim.github.io/Arraymancer/
tensor,The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers
User: mratsim
tensor,NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.
Organization: niutrans
Home Page: http://opensource.niutrans.com/niutensor/
tensor,Deep learning with spiking neural networks (SNNs) in PyTorch.
Organization: norse
Home Page: https://norse.github.io/norse/
tensor,AutoKernel 是一个简单易用,低门槛的自动算子优化工具,提高深度学习算法部署效率。
Organization: oaid
tensor,Let DI-treetensor help you simplify the structure processing!(树形运算一不小心就逻辑混乱?DI-treetensor快速帮你搞定)
Organization: opendilab
Home Page: https://opendilab.github.io/DI-treetensor/
tensor,A library for doing homomorphic encryption operations on tensors
Organization: openmined
tensor,End-to-end solution for enabling on-device AI across mobile and edge devices for PyTorch models
Organization: pytorch
Home Page: https://pytorch.org/executorch/
tensor,Tensors and Dynamic neural networks in Python with strong GPU acceleration
Organization: pytorch
Home Page: https://pytorch.org
tensor,Tensors and differentiable operations (like TensorFlow) in Rust
User: raskr
tensor,A library and extension that provides objects for scientific computing in PHP.
Organization: rubixml
Home Page: https://rubixml.com
tensor,High-Performance Tensor Transpose library
User: springer13
tensor,Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)
User: stared
Home Page: https://colab.research.google.com/github/stared/thinking-in-tensors-writing-in-pytorch/
tensor,Inference Llama 2 in one file of pure 🔥
User: tairov
Home Page: https://www.modular.com/blog/community-spotlight-how-i-built-llama2-by-aydyn-tairov
tensor,The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs
Organization: tensor-compiler
Home Page: http://tensor-compiler.org
tensor,TensorLy: Tensor Learning in Python.
Organization: tensorly
Home Page: http://tensorly.org
tensor,Scientific computing with N-dimensional arrays
Organization: thoughtworksinc
tensor,Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
Organization: tracel-ai
Home Page: https://burn.dev
tensor,2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Organization: unslothai
Home Page: https://hyperlearn.readthedocs.io/en/latest/index.html
tensor,Python bindings for xtensor
Organization: xtensor-stack
tensor,Visualize PyTorch tensors with a single line of code.
User: xwying
tensor,Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.
User: zhongkaifu
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