NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
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Updated
Jun 7, 2024 - Python
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
An Open-sourced Knowledgable Large Language Model Framework.
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
[KDD 2024] Papers about deep learning in epidemic modeling.
A scalable inference server for models optimized with OpenVINO™
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Monte Carlo simulation of (4D) cone beam computed tomography
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Machine Learning - Projects.
The repository presents the notebooks used for my experimental thesis entitled: "Experimental Study of the Steel Market Through CNN-LSTM Deep Learning Models: Practical Applications for Cost Reduction in Industries"
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
A collection of my data science journey - projects, code, and notes.
Benchmarking synthetic data generation methods.
DL tool for white matter hyperintensities segmentation
Generative Pre-trained Transformer in PyTorch
Natural Language Processing (NLP) is a captivating field at the intersection of computer science and linguistics. It enables machines to understand, interpret, and respond to human language in a way that is both meaningful and useful. From chatbots to sentiment analysis, NLP applications are transforming industries and enhancing user experiences.
Build and deploy a fully-featured, observable, user-facing RAG backend in minutes.
🌄 Open Source AI & Data Landscape - provides overview of top tier projects in the open source AI and Data ecosystem, shows projects through GitHub data, funding or market cap, first and last commits, contributor count and much other information.
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)