pretrained-model
There are 2 repositories under pretrained-model topic.
modelscope / FunASR
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Language:Python 13363- Language:Python 883
Audio-WestlakeU / FullSubNet
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
Language:Python 579clovaai / rexnet
Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models
Language:Python 453mx-mark / VideoTransformer-pytorch
PyTorch implementation of a collections of scalable Video Transformer Benchmarks.
Language:Python 304tamerthamoqa / facenet-pytorch-glint360k
A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.
Language:Python 247NVIDIA-AI-IOT / trt_pose_hand
Real-time hand pose estimation and gesture classification using TensorRT
Language:Jupyter Notebook 229seawee1 / Did-Somebody-Say-Corgi
Image Synthesis + Corgis = <3
Language:Jupyter Notebook 87yaox12 / BYOL-PyTorch
PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
Language:Python 82- Language:Jupyter Notebook 60
lemuria-wchen / DialogVED
Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"
Language:Python 39zzhUSTC2016 / RAREMed
Source code of our SIGIR'24 paper titled "Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients".
Language:Jupyter Notebook 21bayartsogt-ya / albert-mongolian
ALBERT trained on Mongolian text corpus
Language:Jupyter Notebook 18- Language:Python 14
Jayanth-MKV / emotion2vec-speech-emotion-detection-api
This API utilizes a pre-trained model for emotion recognition from audio files. It accepts audio files as input, processes them using the pre-trained model, and returns the predicted emotion along with the confidence score. The API leverages the FastAPI framework for easy development and deployment.
Language:Python 13ReverendBayes / YOLO11m-Car-Damage-Detector
Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)βoptimized for high-capacity inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.
Language:Jupyter Notebook 13XufengXufengXufeng / Electra_with_tensorflow
This is an implementation of electra according to the paper {ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators}
Language:Python 13prathyyyyy / Forest-Fire-Detection
Forest Fire Detection By Convolutional Neural Network
Language:Jupyter Notebook 12iv4n-ga6l / Lane_detection
Lane detection using tensorflow pre-trained model
Language:Python 2NabilNawa / YOLOv8-Vehicle-Damage-Detector
Custom YOLOv8 model for detecting and classifying car body damageβoptimized for fast inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.
Language:Jupyter Notebook 2juyterman1000 / smartllm-router
This is the LLM money saver library for the developers, testers, product guys or startups
Language:Python 1malik727 / snips-model-agl
A repository which contains dataset and a pre-trained Snips model for the Automotive Grade Linux's NLU intent engine.
muktajoya / RealTimeObjectDetection
Using OpenCV's pretrained model yolov3 for real time object detection. (faster)
Language:Jupyter Notebook 1prabormukherjee / Smile_annotations
Sentiment analysis using bert
Language:Jupyter Notebook 1Rushour0 / Image-Caption
Blip Image Captioning + GPT-2 Happy Model: Generate joyful responses to image captions using state-of-the-art NLP and computer vision. Pretrained models and data preprocessing included for seamless integration. Explore the intersection of deep learning, sentiment analysis, and language generation
Language:Python 1sahal-mulki / SpottingDiffusion
Official implementation of SpottingDiffusion : A CNN-based method of detecting AI generated images.
Language:Jupyter Notebook 1isabelleysseric / Traffic-sign-detector
Recognition of Quebec road signs using transfer learning with Python.
Language:Jupyter Notebook 0lironabutbul / tensorflowjs-pneumonia-detection
Tensorflow.js PWA for Diagnosing Pneumonia in Frontal Chest X-ray Images using Convolutional Neural Network and Pretrained Model π§
Language:JavaScript 0Manaswi-Vichare / Resnet18-on-CIFAR10
Implementing Transfer Learning using Resnet18. Training and testing Resnet18 on Even numbered Classes in CIFAR10 Dataset.
Language:Jupyter Notebook 0RaneemLoay / Animals-images-classifying-using-CNN
Classifying various animal species images using CNN
Language:Python 0codehub001 / Age-and-Gender-Detection
This AI-powered project detects faces and predicts age & gender from images or video streams using OpenCV and deep learning. π§ π‘ πΉ Face Detection π πΉ Gender Classification π·οΈ (Male/Female) πΉ Age Estimation π (from predefined age groups) πΉ Live Video & Image Support π₯πΌοΈ
Language:PythonDhanvika27 / road-scene-segmentation
Semantic segmentation of road scenes using U-Net with EfficientNetB0 on the CamVid dataset.
Language:Jupyter NotebookRaheel-baksh / Glint
Glint is a Rust framework designed for creating stateful, graph-based AI systems, enabling efficient multi-step workflows. With features like LLM integration and a graph-based architecture, Glint helps developers build powerful AI solutions with ease. πβ¨
Language:Rust
