mfdj2002

classifier-free-diffusion-guidance-Pytorch

a simple unofficial implementation of classifier-free diffusion guidance

codellama

Inference code for CodeLlama models

ConceptBottleneck

Concept Bottleneck Models, ICML 2020

pain-disparities

2020-Coding-Challenge

alpa

Training and serving large-scale neural networks with auto parallelization.

classifier-free-guidance-pytorch

Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

clip_prs

official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"

codemap

ControlNet

Let us control diffusion models!

decision-diffuser

DEN

Lifelong Learning with Dynamically Expandable Networks, ICLR 2018

diffuser

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

diffusion-classifier

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training

FLYP

Code for Finetune like you pretrain: Improved finetuning of zero-shot vision models

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

GPT-3T

Building language models to predict more than one token ahead to enable further ahead predictions.

hip

Codebase for HiP

implicit_chain_of_thought

llama

Inference code for LLaMA models

LLaVA-Med

Large Language-and-Vision Assistant for BioMedicine, built towards multimodal GPT-4 level capabilities.

mds_fork

Megatron-LM

Ongoing research training transformer models at scale

mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

multiwoz

Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

open_clip

An open source implementation of CLIP.

pile-enron-emails

A script for collecting the Enron Emails dataset in a language modelling friendly format.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.