Denisa Roberts (D-Roberts)

D-Roberts

Geek Repo

Location:New York City

Home Page:www.denisaroberts.me

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Denisa Roberts's repositories

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)

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numerical_ml_algorithms_python

Python3 implementation of a few numerical algorithms.

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addons

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

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champagne

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

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diffusers

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

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FTP

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

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llama

Inference code for LLaMA models

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LLaVA

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

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llmstep

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

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lm-evaluation-harness

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

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M3L

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

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open_clip

An open source implementation of CLIP.

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open_flamingo

An open-source framework for training large multimodal models

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prismatic-vlms

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

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Prompt-Engineering-Guide

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

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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.

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SMART

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

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smarter

next gen smart vlm reasoner

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stable-diffusion

Latent Text-to-Image Diffusion

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StableLM

StableLM: Stability AI Language Models

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superpoint_transformer

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

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SwiftFormer

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

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transformers

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

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vlm-evaluation

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

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x-transformers

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

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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.

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