Image caption generator with attention mechanism. Capstone project for Data Science Immersive.
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Updated
May 21, 2024 - Jupyter Notebook
Image caption generator with attention mechanism. Capstone project for Data Science Immersive.
deep learning for image processing including classification and object-detection etc.
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
UniSim is a package for efficient similarity computation, fuzzy matching, and clustering of data.
EBOP Model Automatic input Value Estimation Neural network
Cross Validation, Grid Search and Random Search for TensorFlow 2 Datasets
Deep Learning Inference benchmark. Supports OpenVINO™ toolkit, Caffe, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch, Apache TVM, ncnn, etc.
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
S7-S8 Main Project: Concatenation of Attention Enhanced Spatial and Temporal Features for Violence Detection from Videos
Deep Learning projects with implementations in image processing, object detection, generative adversarial networks and natural language processing..
深度学习TensorFlow2入门指南。Deep Learning TensorFlow2 API and Examples with Python3 and Jupyter Notebook.
Transformer based Neural Machine Translation with Tensorflow2
Classical audio-classification ML task built on Tensorflow 2. Training notebook, exploratory data analysis, feature extraction, model class with several model architectures. Automatic testing on new imported data batches. Real-time inference using input audio device, triggers to specified Artnet universe. Use wtih my ADRT dataset creator
⚡ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
A modular inverse QSAR pipeline
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
contains codes of Machine Learning, Deep learning and Reinforcement learning applied in sort of scratch but mostly using this library
pytorch ml/dl... prolly gonna use other stuff like tensorflow
Mastering-TensorFlow-2.0-A-30-Day-Journey
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
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