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120 search results found

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

Swift Tensor Extensions for Machine-learning

Hoomd Tf ⭐ 27

A plugin that allows the use of Tensorflow in Hoomd-Blue for GPU-accelerated ML+MD

Tf2 Gradient Checkpointing ⭐ 25

Simple gradient checkpointing for eager mode execution

Tensorshare ⭐ 25

🤝 Trade any tensors over the network

A wrapper for the TensorFlow.js library.

Tree Tensor Networks In Machine Learning ⭐ 22

A Rust Library for High-Performance Tensor Exchange with Python

deep learning and scientific computing framework with native CPU and GPU backend for the Scala programming language

Tensor_stream Opencl ⭐ 19

An OpenCL backend for TensorStream

Repugnant Pickle ⭐ 19

Low effort scraping Python's pickle format in Rust. It is to complete pickle parsing as BeautifulSoup was to complete HTML parsing.

Go Tensorflow ⭐ 19

Tools and libraries for using Tensorflow (and Tensorflow Serving) in go

Machine Learning With Javascript ⭐ 17

Everything I know about TensorFlow with JavaScript

Kaleidoscope ⭐ 17

A user toolkit for analyzing and interfacing with Large Language Models (LLMs)

A neural network, and tensor dynamic automatic differentiation implementation for Rust.

ML model compiler for Cortex-M4F

Serving Runtime ⭐ 14

Exposes a serialized machine learning model through a HTTP API.

Torchtuples ⭐ 13

Training neural networks in PyTorch

Self Driving Car ⭐ 12

Self driving car I built from scratch to learn basic electronics and ML. Raspberry Pi, Python, Tensor FLow, Keras.

Deep Learning Machine Learning Ai Tensorflow Python ⭐ 11

🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍

Tensor Gmm ⭐ 11

Implementation of learning a Gaussian mixture model using tensor decomposition.

Tf Dev Summit 2020 ⭐ 11

My Notes on Tensorflow Dev Summit 2020

Tensor utilities, reinforcement learning, and more!

A minimalistic header only C++11 Neural Network library based on Eigen::Tensor

Cudacanvas ⭐ 10

Python Module for PyTorch Tensor Visualisation in CUDA Eliminating CPU Transfer

Dataclasses Tensor ⭐ 10

Easily serialize dataclasses to and from tensors (PyTorch, NumPy)

Tensor_rnn ⭐ 9

An implementation of various tensor-based decomposition for NN & RNN parameters

Keras_ernie ⭐ 9

Pre-trained ERNIE models could be loaded with Keras for feature extraction and prediction.

Automatic quantization library

Redisai Js ⭐ 8

A high-performance JavaScript client for RedisAI

Device_matrix ⭐ 8

The device_matrix library is a lightweight, transparent, object-oriented and templated C++ library that encapsulates CUDA memory objects (i.e., tensors) and defines common operations on them.

Blackcat_tensors ⭐ 8

Matrix-Vector Library Designed for Neural Network Construction. cuda (gpu) support, openmp (multithreaded cpu) support, partial support of BLAS, expression template based implementation PTX code generation identical to hand written kernels, and support for auto-differentiation

Tensor Fm ⭐ 7

Polynomial regression and classification with sklearn and tensorflow

Linear Algebra For Deeplearning ⭐ 7

Linear Algebra for Deep Learning

Tanalysis ⭐ 7

A python 2.7+ and 3.4+ package for matrix product state decompositions in a data science context

Pedestrian Detector Using Cnn And Sliding Window ⭐ 7

Ailearning ⭐ 7

AI => Python + MachineLearning + DeepLearning（PyTorch）

Albiruniml ⭐ 7

AlbiruniML is a linear algebra and machine learning library written in pure c# language inspired from tensorflow

Tensorflow Modelzoo ⭐ 7

Tool for easily loading pre-trained ImageNet models into TensorFlow

Code for understanding automatic differentiation.

Pyfunctionbases ⭐ 7

A Python module to compute multidimensional arrays of evaluated (orthogonal) functions.

Ml Resources ⭐ 6

Yet another list of ML resources

Tensor Lang ⭐ 6

Tensor language for ML, AI. On-prem and cloud ready.

Grouped3dconvpytorch ⭐ 6

Implementation of grouped 3D convolutions (with backward) in Tensor Comprehensions.

Rouge L Tensorflow ⭐ 6

ROUGE L metric implementation using tensorflow ops

Pypytorch ⭐ 5

PyPyTorch is a simple deep learning framework implemented by Python3

a Tiny Automatic Differentiation Library for understanding how neural networks works, implemented in pure Java

Tensor math framework for machine learning

Ai Center ⭐ 5

AI theory & action...

This library is designed to generate visualizations of neural networks by analyzing PyTorch code. Unlike conventional methods, our approach eliminates the need for large parameter files (pth) or specific input formats. With minimal AI knowledge, users can leverage this tool to create visualizations that aid in understanding complex networks.

Tensorlib ⭐ 5

Repository for paper 'Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns'.

Cl Tensor Decomposition ⭐ 5

A tensor decomposition library for Common Lisp which support sparse tensor.

Toolkit for managing colorspaces in Elixir Nx to use in Machine Learning.

Torch Serving ⭐ 5

Simple HTTP serving for PyTorch 🚀

Healthron ⭐ 5

A Disease Outbreak Assistance system using machine learning and Artifitial Intelligence

Php Tensor For Windows ⭐ 5

PHP Tensor Extension for Windows https://github.com/RubixML/Tensor

SIR model parameter estimation using a novel algorithm for differentiated uniformization.

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