Latex code for making neural networks diagrams

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

DALL·E Mini - Generate images from a text prompt

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Datasets, tools, and benchmarks for representation learning of code.

Caffe: a fast open framework for deep learning.

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Naver sentiment movie corpus

Jupyter notebooks for the Natural Language Processing with Transformers book

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

A latent text-to-image diffusion model

Examples and guides for using the OpenAI API

The simplest, fastest repository for training/finetuning medium-sized GPTs.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

Try CoreML models on multiple images and videos easily and quickly

Restoring old and blurry face photos with AI.

Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin

Drive a browser with GPT-3

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

🦜🔗 The platform for reliable agents.

Repository of my solutions to the problems of "Learning from Data"

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

The Modular Platform (includes MAX & Mojo)

📋 A list of open LLMs available for commercial use.

Summarize web pages using OpenAI ChatGPT