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A curated list of language modeling researches for code and related datasets.

Track your datasets, code changes, experimentation history, and models.

A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.

Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.

A data orchestrator for machine learning, analytics, and ETL.

Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.

Free 3-month individual subscription to learn data science and AI skills.

Dataframes for machine-learning and statistics (similar to pandas).

Platform democratizing access to data and enabling enterprises to build their own path to AI.

Enjoy unlimited API calls with Serverless AI Workers/LLMs for just $25 per month. No rate or concurrency limits.

DataPup

github.com

Database client with AI-powered query assistance to generate context based queries.

Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.

An open-core tool to automate data and training workflows.

Private AI for Mac that redacts sensitive data before any cloud call. Built for lawyers, consultants & accountants. Run fully offline.

Machine learning development environment for data science and AI/ML engineering teams.

All-in-one platform to create vertical AI agents powered by your private data and knowledge.

10x faster, cheaper, and better vector database.

Visualizations for understanding and analyzing machine learning datasets.

High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.

A Virtual Feature Store. Turn your existing data infrastructure into a feature store.

Supports teaching, studying or skills practice with AI-guided learning tools.

Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.

FutureTools

futuretools.io

FutureTools supports machine learning models, deployment, inspection, datasets, or AI development workflows.

Pandas AI is a Python library that integrates LLMs capabilities into Pandas, making dataframes conversational.