1064 Open source projects that are alternatives of or similar to Ocaml Torch

Command line tool for FloydHub - the fastest way to build, train, and deploy deep learning models

High-performance Vision library in Python. Scale your research, not boilerplate.

Multi-dimensional arrays (tensors) and numerical definitions for Elixir

Fast, Scientific and Numerical Computing for the JVM (NDArrays)

List of Deep Learning Cloud Providers

Resource scheduling and cluster management for AI

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

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

Unoffcial NVIDIA CUDA GPU support version of Google Tensorflow for MAC OSX

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

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

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Deep.Net machine learning framework for F#

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Deep learning with spiking neural networks (SNNs) in PyTorch.

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

NumPy & SciPy for GPU

DiffSharp: Differentiable Functional Programming

Scientific computing with N-dimensional arrays

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

Grokking Deep Reinforcement Learning

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

PySwip is a Python - SWI-Prolog bridge enabling to query SWI-Prolog in your Python programs. It features an (incomplete) SWI-Prolog foreign language interface, a utility class that makes it easy querying with Prolog and also a Pythonic interface.

This is a list of useful libraries and resources for CUDA development.

The RWTH extensible training framework for universal recurrent neural networks

This is a repository for an object detection inference API using the Tensorflow framework.

Language, Knowledge, Cognition

A fast Clojure Tensor & Deep Learning library

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

💁‍♀️Your new best friend powered by an artificial neural network

AI Automated Planning with STRIPS and PDDL in Node.js

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

An open-source, low-code machine learning library in Python

Building a Simple Chatbot from Scratch in Python (using NLTK)

Cryptocurrency Price Prediction Using LSTM neural network

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

Dream to Control: Learning Behaviors by Latent Imagination

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

A curated list of Blockchain projects for Artificial Intelligence and Machine Learning

The Go kernel for Jupyter notebooks and nteract.

gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)

Sharing Updatable Models (SUM) on Blockchain

A curated list of awesome awesomeness about artificial intelligence

Shōgun

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

NVIDIA GPUs htop like monitoring tool

iOS 弹幕库 OCBarrage, 同时渲染5000条弹幕也不卡, 轻量, 可拓展, 高度自定义动画, 超高性能, 简单易上手; A barrage render-engine with high performance for iOS. At the same time, rendering 5000 barrages is also very smooth, lightweight, scalable, highly custom animation, ultra high performance, simple and easy to use!

The collaborative real-time open-source machine learning devtool and training suite: Experiment execution, tracking, and debugging. With server and project management tools.

Vulkan compute for people

Climate Machine: an Earth System Model that automatically learns from data

和（he for objective-c） —— “信息熵减机系统”

🧠 A tool that makes AI easier.

🎮 A curated list of awesome game datasets, and tools to artificial intelligence in games

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

LDA topic modeling for node.js