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[ECCV 2024] Official implementation of the paper "X-Pose: Detecting Any Keypoints"
The Layer 2 of Madness: A Blockchain Where Agents Make the Rules (or Don’t)
Chai-1, SOTA model for biomolecular structure prediction
Efficient and readable change point detection package implemented in Python. (Singular Spectrum Transformation - SST, IKA-SST, ulSIF, RuLSIF, KLIEP, FLUSS, FLOSS, etc.)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A trustless P2P fiat onramp powered by ZK proofs.
A python parametric CAD scripting framework based on OCCT
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.
A fast hierarchical dimensionality reduction algorithm.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
library for making Dungeons & Dragons 5e characters as serializable data
Script for converting heif files to jpeg.
A curated list of datasets, publically available for machine learning research in the area of manufacturing
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Cohort Shapley: A local explanation method for black box prediction with only observed data
Generating Airborne Ultrasonic Amplitude Patterns Using an Open Hardware Phased Array
IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
Volumetric Display using an Acoustically Trapped Particle
Explainable Defect Detection using Convolutional Neural Networks: Case Study
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
Rule Extraction Methods for Interactive eXplainability
Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"