Anthropic's educational courses

Scaling Diffusion Transformers with Mixture of Experts

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2…

Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch

Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

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

LLM inference in C/C++

Inference Llama 2 in one file of pure C

A Gradio web UI for Large Language Models with support for multiple inference backends.

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

QLoRA: Efficient Finetuning of Quantized LLMs

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

Instruct-tune LLaMA on consumer hardware

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

📺 Discover the latest machine learning / AI courses on YouTube.

A lightweight C++ library for recursive bilateral filtering [Yang, Qingxiong. "Recursive bilateral filtering". European Conference on Computer Vision, 2012].

A latent text-to-image diffusion model

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Collection of papers and resources for data augmentation for NLP.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

Denoising Diffusion Probabilistic Models

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Diffusion-LM

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

PyTorch code for MUST

Reading list for research topics in Masked Image Modeling