Popular GitHub Repositories for Nonlocal Boundary Conditions

Developer friendly Natural Language Processing ?

[768 Resolution] [Any "SDXL" Model] [Various Conditions] [Arbitrary Views] Official impl. of "MV-Adapter: Multi-view Consistent Image Generation Made Easy"

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

[ICLR 2025] Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Toqito（量子信息工具包理论）是一个用于量子信息理论研究的Python库。

TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab.

A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.

A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.

RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features (CVPR 2021)

Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)

[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer

[ECCV 2020] Boundary-preserving Mask R-CNN

A pytorch implementation of pix2pix + BEGAN (Boundary Equilibrium Generative Adversarial Networks)

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

NLP Functions for amplifying negations, managing elisions, creating ngrams, stems, phonetic codes to tokens and more.

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).