NguyenDucLamK63

NguyenDucLamK63's Stars

• VinAIResearch/PhoWhisper

  PhoWhisper: Automatic Speech Recognition for Vietnamese (2024)

  10710

• SYSTRAN/faster-whisper

  Faster Whisper transcription with CTranslate2

  Language:Python11.9k1k

• manhcuong02/eKYC

  eKYC (Electronic Know Your Customer) is a project designed to electronically verify the identity of customers

  Language:Python219

• phamvanhanh6720/IDCardVNRecognition

  Recognize and extract information from ID Card VietNam

  Language:Python2612

• huggingface/distil-whisper

  Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.

  Language:Python3.6k287

• undertheseanlp/NLP-Vietnamese-progress

  Repository to track the progress in Vietnamese Natural Language Processing, including the datasets and the current state-of-the-art for the most common Vietnamese NLP tasks.

  34373

• vasistalodagala/whisper-finetune

  Fine-tune and evaluate Whisper models for Automatic Speech Recognition (ASR) on custom datasets or datasets from huggingface.

  Language:Python23954

• Dec1mo/Vietnamese-Chatbot-From-Scratch

  Vietnamese Drink Ordering Chatbot = Intent classification + Context Handler+ Address fuzzy matching + Facebook Built-in NLP

  Language:Python15

• thelinhbkhn2014/VnCoreNLP_Wrapper

  Language:Python255

• vngrs-ai/vnlp

  State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.

  Language:Python24517

• dangvansam/viet-asr

  VietASR - Vietnamese Automatic Speech Recognition

  Language:Python10246

• HKAB/whisper-finetune-vietnamese

  Whisper finetuned on VinBigdata-VLSP2020-100h + KenLM

  Language:Jupyter Notebook3411

• reriiasu/speech-to-text

  Real-time transcription using faster-whisper

  Language:HTML38958

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python69.9k8.2k

• deepcam-cn/yolov5-face

  YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)

  Language:Python2.1k499

• FeiGeChuanShu/CodeFormer-ncnn

  ncnn version of CodeFormer

  Language:C++9710

• PaddlePaddle/PaddleOCR

  Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

  Language:Python43.5k7.8k

• gauthamk02/pytorch-waterbody-segmentation

  PyTorch implementation of image segmentation for identifying water bodies from satellite images

  Language:Jupyter Notebook194

• gauthamk02/pytorch-resnet34-bird-classification

  PyTorch implementation of ResNet34 from scratch for classifying birds

  Language:Jupyter Notebook9

• oarriaga/paz

  Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

  Language:Python619102

• deepinsight/insightface

  State-of-the-art 2D and 3D Face Analysis Project

  Language:Python23.2k5.4k

• CoinCheung/BiSeNet

  Add bisenetv2. My implementation of BiSeNet

  Language:Python1.4k307

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25.4k2.9k

• nrl-ai/daisykit

  DaisyKit is an easy AI toolkit with face mask detection, pose detection, background matting, barcode detection, face recognition and more. - with NCNN, OpenCV, Python wrappers

  Language:C++10118

• GuiltyNeuron/ANPR

  license plate detection and recognition

  Language:Python383147

• RizwanMunawar/yolov8-object-tracking

  YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics

  Language:Python27747

• augmentedstartups/Pose-Estimation

  Pose Estimation Course

  Language:Python15371

• nicknochnack/OpenCV-Basics

  A series of tutorials focused on OpenCV for Python

  Language:Jupyter Notebook5332

• nicknochnack/RealTimeObjectDetection

  Language:Jupyter Notebook366579

• KristynaPijackova/Radio-Modulation-Recognition-Networks

  Radio modulation recognition with CNN, CLDNN, CGDNN and MCTransformer architectures. Best results were achieved with the CGDNN architecture, which has roughly 50,000 parameters, and the final model has a memory footprint of 636kB. More details can be found in my bachelor thesis linked in the readme file.

  Language:Jupyter Notebook6921