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some materials about mesh processing, including papers, videos, codes, and so on. Updating every day!
This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".
A dataset of 3D CAD models with machining feature labels.
Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.
pytorch-implementation of Dreamer (Model-based Image RL Algorithm)
A Simplified Pytorch Version of the Dreamer Algorithm
Learning Latent Dynamics for Planning from Pixels
Pytorch implementation of [Feudal Net](https://arxiv.org/abs/1703.01161). ([Tensorflow version](https://github.com/dmakian/feudal_networks))
Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes [CVPR 2024]
Simple image captioning model
This repository contains demos I made with the Transformers library by HuggingFace.
CLIPxGPT Captioner is Image Captioning Model based on OpenAI's CLIP and GPT-2.
Pytorch code for managing distributed training experiments.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Downstream-Dino-V2: A GitHub repository featuring an easy-to-use implementation of the DINOv2 model by Facebook for downstream tasks such as Classification, Semantic Segmentation and Monocular dept…
In-situ data analyses and machine learning with OpenFOAM and Python
Deep Planning Network: Control from pixels by latent planning with learned dynamics
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A minimal, but effective implementation of CLIP (Contrastive Language-Image Pretraining) in PyTorch
official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"
AAGNet, for automatic machining feature recognition using a geometric Attributed Adjacency Graph (gAAG) representation that preserves topological, geometric, and extended attributes from neutral bo…
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
PWM: Policy Learning with Large World Models
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22