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A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
Implementación de regresión robusta - Curso Profesional de Machine Learning con Scikit-Learn by Platzi
A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, and deploy transformer specific models.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A Python toolbox for speech features extraction
Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.
Cluster monitoring stack for clusters based on Prometheus Operator
Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes
A workshop that walks through how to get started with Grid, NGC and PyTorch Lightning to supercharge deep learning.
PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech
Audio preprocessing framework for Deep Learning audio applications
Convert Apple NeuralHash model for CSAM Detection to ONNX.
A Feed-Forward ANN based on MPC for a Three-Phase Inverter With an Output LC Filter
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Cross-platform, customizable ML solutions for live and streaming media.
ChainerCV: a Library for Deep Learning in Computer Vision
A Python Perceptual Image Hashing Module
Python library to calculate the difference hash (perceptual hash) for a given image, useful for detecting duplicates
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
Text detection with mainly MSER and SWT