deepchem
K-Dense-AI
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featuriza…
OPENAGENTSKILL / DIRECTORY
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Results: 18
K-Dense-AI
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featuriza…
snap-research
Code for Motion Representations for Articulated Animation paper
zai-org
SCAIL: Towards Studio-Grade Character Animation via In-Context Learning of 3D-Consistent Pose Representations (CVPR 2026 Findings)
atomicarchitects
[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
SteadfastAsArt
Build 3D geological models with implicit surfaces, faults, folds, and stratigraphic constraints from structural geology data. Use when the agent needs to: (1) Build 3D g…
breezedeus
An Open-Source Python3 tool with SMALL models for recognizing layouts, tables, math formulas (LaTeX), and text in images, converting them into Markdown format. A free al…
sthalles
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
kraina-ai
Spatial Representations for Artificial Intelligence - a Python library toolkit for geospatial machine learning focused on creating embeddings for downstream tasks
wikipedia2vec
A tool for learning vector representations of words and entities from Wikipedia
PRBonn
🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)
cvondrick
SoundNet: Learning Sound Representations from Unlabeled Video. NIPS 2016
JohnGiorgi
The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any…
xiangzhang1015
Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications
Yevanchen
Find, rank, and safely remove accidental codebase complexity by proving real consumers, dynamic entrypoints, compatibility obligations, duplicate representations, specul…
jaccen
Bridge CAD, Mesh, and 3DGS representations via the SLAT unified encode-decode framework. Covers mesh↔3DGS conversion, surface extraction, CAD reverse engineering, B-rep/…
zubair-irshad
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
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