d-roberts Goto Github PK
Name: Denisa Roberts
Type: User
Bio: Deep learning researcher
Location: New York City
Blog: www.denisaroberts.me
Name: Denisa Roberts
Type: User
Bio: Deep learning researcher
Location: New York City
Blog: www.denisaroberts.me
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
The Abstraction and Reasoning Corpus
An official codebase for paper ":champagne: CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos"
Deep learning architectures related to video ++.
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: State-of-the-art diffusion models for image and audio generation in PyTorch
EfficientFormerV2 & EfficientFormer(NeurIPs 2022)
This repo hosts the code for the Fast Trainable Projection (FTP) project.
Representing Long-Range Context for Graph Neural Networks with Global Attention
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Inference code for LLaMA models
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
llmstep: [L]LM proofstep suggestions in Lean 4.
A framework for few-shot evaluation of autoregressive language models.
TensorFlow implementation of differentiable LQ matrix decomposition for all matrix orders.
Official repository for "Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation"
Make It Move: Controllable Image-to-Video Generation with Text Descriptions
Masked Vision-Language Transformer in Fashion
Python3 implementation of a few numerical algorithms.
An open source implementation of CLIP.
An open-source framework for training large multimodal models
A flexible and efficient codebase for training visually-conditioned language models (VLMs)
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
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.
Training and testing code from our CVPR 2023 paper "Are Deep Neural Networks SMARTer than Second Graders?"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.