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Denisa Roberts's Projects

addons icon addons

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

arc icon arc

The Abstraction and Reasoning Corpus

champagne icon champagne

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

diffseg icon 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.

diffusers icon diffusers

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

ftp icon ftp

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

graphtrans icon graphtrans

Representing Long-Range Context for Graph Neural Networks with Global Attention

group_sparsity icon group_sparsity

Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

llama icon llama

Inference code for LLaMA models

llava icon llava

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

llmstep icon llmstep

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

lq-backprop icon lq-backprop

TensorFlow implementation of differentiable LQ matrix decomposition for all matrix orders.

m3l icon m3l

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

mage icon mage

Make It Move: Controllable Image-to-Video Generation with Text Descriptions

mvlt icon mvlt

Masked Vision-Language Transformer in Fashion

open_flamingo icon open_flamingo

An open-source framework for training large multimodal models

prismatic-vlms icon prismatic-vlms

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

segment-anything icon 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 icon smart

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

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