D-Roberts

transformers-retrieval-ranking-nli-ECIR2021

Multilingual retrieval, ranking and natural language inference with transformers (mBERT); PyTorch implementation code for article in European Conference on Information Retrieval (ECIR2021)

fundamental_algorithms_patterns_python3

numerical_ml_algorithms_python

Python3 implementation of a few numerical algorithms.

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

champagne

An official codebase for paper ":champagne: CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos"

CyCLIP

diffusers

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

EfficientFormer

EfficientFormerV2 & EfficientFormer(NeurIPs 2022)

FTP

This repo hosts the code for the Fast Trainable Projection (FTP) project.

llama

Inference code for LLaMA models

LLaVA

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

llmstep

llmstep: [L]LM proofstep suggestions in Lean 4.

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

M3L

Official repository for "Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation"

math-lm

open_clip

An open source implementation of CLIP.

open_flamingo

An open-source framework for training large multimodal models

prismatic-vlms

A flexible and efficient codebase for training visually-conditioned language models (VLMs)

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

segment-anything

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.

SMART

Training and testing code from our CVPR 2023 paper "Are Deep Neural Networks SMARTer than Second Graders?"

stable-diffusion

Latent Text-to-Image Diffusion

StableLM

StableLM: Stability AI Language Models

superpoint_transformer

Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"

SwiftFormer

SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

vlm-evaluation

VLM Evaluation: Benchmark for VLMs, spanning text generation tasks from VQA to Captioning

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers

alphageometry

diffseg

DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an experimental feature to add semantic labels to the masks based on a generated caption.