Everything You Need to Learn and Build
in Machine Learning

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ApX brings together everything you need to explore and grow in machine learning.
Whether you're starting with the basics or refining advanced skills, it's all here in one place.

AutoML

Build and deploy machine learning models with automated workflows. Perfect for tabular data analysis and predictions.

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LearnML

Comprehensive courses to master Machine Learning and Data Science fundamentals.

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LangML

Coming Soon

Fine-tune and deploy custom language models for your specific use cases. Launching soon.

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Blog

How to Run DeepSeek V3-0324: Updated Weights

Mar 25, 2025

DeepSeek V3-0324 is an updated checkpoint with better coding performance and the same setup as previous versions. Here’s how to run it with the latest weights.

TensorFlow vs PyTorch vs JAX: Performance Benchmark

Mar 24, 2025

Performance comparison of TensorFlow, PyTorch, and JAX using a CNN model and synthetic dataset. Benchmarked on NVIDIA L4 GPU with consistent data and architecture to evaluate training time, memory usage, and model compilation behavior.

GPU System Requirements Guide for Gemma 3 Multimodal

Mar 13, 2025

Learn the recommended GPU specifications for running Google DeepMind's latest Gemma 3 models efficiently, including VRAM requirements for text and image-to-text tasks.

How to Generate Videos Using Wan2.1 Text-to-Video on Ubuntu

Mar 12, 2025

Learn how to generate videos using Wan2.1, an advanced open-source video generation model. This guide walks you through installation, setup, and running text-to-video generation on consumer and high-end GPUs.

How to Install and Run QwQ-32B

Mar 6, 2025

QwQ-32B is a 32-billion-parameter reasoning model optimized with reinforcement learning, rivaling larger models like DeepSeek-R1. This guide covers installation and running methods, including Hugging Face and an easier alternative using Ollama.

NVIDIA vs MacOS Metal GPU: Performance Benchmark for AI/ML

Mar 5, 2025

Comparing NVIDIA GPUs with Apple's macOS Metal GPUs for machine learning workloads. Performance tests include a deep learning rig, MacBook M3 Pro, MacBook Air M1, and Google Colab's free tier.

How to Run PyTorch on a MacOS GPU with Metal

Mar 5, 2025

Learn how to run PyTorch on a Mac's GPU using Apple’s Metal backend for accelerated deep learning. This guide covers installation, device selection, and running computations on MPS.

How to Use the Claude 3.7 Sonnet API: Developer Guide

Feb 25, 2025

Learn how to integrate and use the Claude 3.7 API, Anthropic’s latest hybrid reasoning AI model. This guide covers authentication, making API requests with cURL, Python, and JavaScript, and key features like extended reasoning and Claude Code.

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