deep learning for image processing including classification and object-detection etc.
- pytorch
- tensorflow2
- classification
- object-detection
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deep learning for image processing including classification and object-detection etc.
FinRL®: Financial Reinforcement Learning. 🔥
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields
TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)
Graph Neural Networks with Keras and Tensorflow 2.
Synthetic data generators for tabular and time-series data
TensorFlow Lite models for MIRNet for low-light image enhancement.
Address book for computer vision models.
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
MIRNet model is used to enhance a low-light image. Implemented MIR-Net model with TF-Lite.
Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.