dragynir

dragynir's Stars

• Dragon181/Anything-Counter

  This demo project for detection, tracking and counting anything (car, human, etc)

  Language:Python142

• nikhilbarhate99/PPO-PyTorch

  Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

  Language:Python1.8k355

• AUTOMATIC1111/stable-diffusion-webui

  Stable Diffusion web UI

  Language:Python145k27.2k

• gordicaleksa/stable_diffusion_playground

  Playing around with stable diffusion. Generated images are reproducible because I save the metadata and latent information. You can generate and then later interpolate between the images of your choice.

  Language:Python20924

• alembics/disco-diffusion

  Language:Jupyter Notebook7.5k1.1k

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook12.1k1.6k

• Lightning-AI/pytorch-lightning

  Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

  Language:Python28.7k3.4k

• max-509/distributed-kirchhoff-migration

  Language:Jupyter Notebook1

• hkchengrex/STCN

  [NeurIPS 2021] Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation

  Language:Python54670

• JDAI-CV/FaceX-Zoo

  A PyTorch Toolbox for Face Recognition

  Language:Python1.9k433

• mindspore-ai/mindspore

  MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

  Language:C++4.3k714

• catalyst-team/dl-course

  Deep Learning with Catalyst

  Language:Jupyter Notebook29071

• evidentlyai/evidently

  Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

  Language:Jupyter Notebook5.6k612

• ivanpanshin/SupCon-Framework

  Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks

  Language:Python16721

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6.1k657

• je-santos/PoreFlow-Net

  3D CNN to predict single-phase flow velocity fields

  Language:Python7027

• aadm/geophysical_notes

  Collection of geophysical notes in the form of IPython/Jupyter notebooks.

  Language:Jupyter Notebook15476

• nattsr/SRBDRP_Toolbox

  Stanford Rock Physics & Borehole Geophysics (SRB) Digital Rock Physics (DRP) Toolbox. The codes include image creation, alteration, and computation of physical and geometrical properties.

  Language:Matlab2919

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python229k25k

• berniwal/swin-transformer-pytorch

  Implementation of the Swin Transformer in PyTorch.

  Language:Python809128

• zldrobit/yolov5

  YOLOv5 in PyTorch > ONNX > CoreML > iOS

  Language:Python22173

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.1k3.3k

• jeffxtang/yolov5

  YOLOv5 in PyTorch > ONNX > CoreML > TFLite

  Language:Python77

• pytorch/android-demo-app

  PyTorch android examples of usage in applications

  Language:Java1.5k610

• NVlabs/stylegan2

  StyleGAN2 - Official TensorFlow Implementation

  Language:Python11k2.5k

• facebookresearch/habitat-sim

  A flexible, high-performance 3D simulator for Embodied AI research.

  Language:C++2.7k433

• princeton-vl/RAFT

  Language:Python3.4k639

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4.2k

• facebookresearch/AugLy

  A data augmentations library for audio, image, text, and video.

  Language:Python5k302

• asromahin/yparser

  Language:Python73