Best deep learning research tools in 2025

Reformer

Advanced framework for efficient long-sequence data processing.

Dopamine

Framework for quick reinforcement learning algorithm prototyping.

Procys

Automated document processing for streamlined workflows and accuracy.

Ray

Framework for distributing machine learning workloads easily.

JSON Scout

Transform messy data into structured JSON effortlessly.

Lume

Automate and validate data mapping effortlessly.

Substrate

Build and execute complex AI workflows efficiently.

Array Assistant

Streamlines spreadsheet tasks for improved productivity.

FluidStack

Access thousands of powerful Nvidia GPUs for AI projects.

Knowledge Studio

Advanced data discovery and insight extraction solution.

ZETIC.MLange

On-device AI processing for enhanced performance and security.

PyTorch

Framework for building dynamic neural networks and computations.

Modelbit

Infrastructure-as-code for deploying machine learning models.

BenchLLM

Evaluate AI applications with comprehensive testing tools.

Liner.ai

Create machine learning models effortlessly without coding.

Tokenlimits

Explore and compare token limits for various AI models.

Deformable Convolutional Network (DCN)

Flexible convolutional filters for enhanced image analysis accuracy.

HawkFlow.ai

Centralized monitoring for data, applications, and performance insights.

Gradio

Create interactive web interfaces for machine learning models.

Caret

A comprehensive framework for predictive modeling in R.

DeepDetect

User-friendly interface for training deep learning models.

Strategizing App

Create and visualize business models with drag-and-drop ease.

Maester code creator

Quickly generates code snippets for various programming tasks.

CodeParrot

Generate front-end code directly from design files and screenshots.

Jubatus

Framework for real-time online machine learning in distributed settings.