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The official gpt4free repository | various collection of powerful language models | o4, o3 and deepseek r1, gpt-4.1, gemini 2.5
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
This repo contains the code for generating the ToxiGen dataset, published at ACL 2022.
A library to generate LaTeX expression from Python code.
π Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Audio generation using diffusion models, in PyTorch.
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
π¦π The platform for reliable agents.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Must-read Papers on Textual Adversarial Attack and Defense
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Example models using DeepSpeed
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
β° AI conference deadline countdowns
Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
The Missing Semester of Your CS Education π
π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.