agoryuno

agoryuno's Stars

• atamsingh/comp2401

  C Programming with Christine Landerau

  Language:C1811

• dvmazur/mixtral-offloading

  Run Mixtral-8x7B models in Colab or consumer desktops

  Language:Python2.3k225

• agoryuno/adet_layers

  Extracts the compiled portion of the DeepSolo model's code

  Language:Cuda1

• agoryuno/dconfig

  Lightweight version of Detectron2's config package, stripped of all superfluous requirements

  Language:Python1

• leedrake5/Russia-Ukraine

  Equipment Loss Tracking

  Language:R62725

• facebookresearch/MetaCLIP

  ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering

  Language:Python1.2k50

• agoryuno/DeepSolo

  The official repo for [CVPR'23] "DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting" & [ArXiv'23] "DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Text Spotting"

  Language:Python1

• agoryuno/deepsolo-onnx

  An ONNX exporter fot the DeepSolo scene text recognition model

  Language:Python3

• suno-ai/bark

  🔊 Text-Prompted Generative Audio Model

  Language:Jupyter Notebook35.6k4.2k

• deepchecks/deepchecks

  Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

  Language:Python3.6k250

• MichalBusta/E2E-MLT

  E2E-MLT - an Unconstrained End-to-End Method for Multi-Language Scene Text

  Language:C++29184

• ankush-me/SynthText

  Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

  Language:Python2k621

• Plachtaa/VALL-E-X

  An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io/vallex/

  Language:Python7.6k756

• ViTAE-Transformer/DeepSolo

  The official repo for [CVPR'23] "DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting" & [ArXiv'23] "DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Multilingual Text Spotting"

  Language:Python24133

• ymy-k/DPText-DETR

  [AAAI'23 Oral] DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer

  Language:Python17022

• D641593/MixNet

  Language:Python639

• adaptech-cz/Tesseract4Android

  Fork of tess-two rewritten from scratch to support latest version of Tesseract OCR.

  Language:C725114

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python22.9k1.7k

• SqueezeAILab/SqueezeLLM

  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization

  Language:Python63342

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python13.6k1.3k

• atong01/conditional-flow-matching

  TorchCFM: a Conditional Flow Matching library

  Language:Python1.1k85

• lucidrains/vector-quantize-pytorch

  Vector (and Scalar) Quantization, in Pytorch

  Language:Python2.5k198

• agoryuno/autobrowser

  Firefox in a docker container with a control API

  Language:JavaScript1

• MishaLaskin/vqvae

  A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)

  Language:Jupyter Notebook61474

• agoryuno/gpt_monkey

  A Flask service to allow API access to ChatGPT in a browser

  Language:JavaScript1

• neonbjb/tortoise-tts

  A multi-voice TTS system trained with an emphasis on quality

  Language:Jupyter Notebook13k1.8k

• berenslab/pubmed-landscape

  The landscape of biomedical research

  Language:Jupyter Notebook11310

• heatz123/naturalspeech

  A fully working pytorch implementation of NaturalSpeech (Tan et al., 2022)

  Language:Python46767

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47k5.6k

• nomic-ai/gpt4all

  GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

  Language:C++69.7k7.6k