Popular GitHub Repositories for 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?

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

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.

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

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

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

Slice regions of the canvas and convert them to masks for regional conditions widh PNG preview output. And a few support nodes.

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).

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