Tensorflow
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A TensorFlow implementation of End-To-End Memory Networks with a scikit-learn-like interface for bAbI tasks.
A Python toolbox for content-aware restoration of fluorescence microscopy images using deep learning.
A Docker-based image annotation tool for bounding box labeling with auto-labeling support, designed for deep learning training.
A deep learning architecture using stacked residual bidirectional LSTM cells with TensorFlow for human activity recognition from sensor data.
Tensorflow bindings for the Elixir programming language, enabling machine learning inference and tensor operations.
A TensorFlow implementation of fastText for embedding-based text classification with support for character ngrams and distributed training.
Deep learning model using convolutional neural networks to predict drug-target binding affinity from protein sequences and compound SMILES.
A TensorFlow-based object detection model that localizes and identifies multiple objects in images using SSD MobileNet V1 or Faster R-CNN ResNet101.
OCaml bindings for TensorFlow, enabling machine learning and neural network development in a functional programming environment.
TensorFlow and NumPy implementations of HMM Viterbi and forward/backward algorithms for sequence modeling.
A centralized Python framework for agricultural machine learning, providing access to public datasets, benchmarks, pretrained models, and synthetic data generation.
A Python library for Bayesian optimization using GPflow and TensorFlow, designed for optimizing expensive black-box functions.
An open-source tool to detect and blur faces and license plates in images for privacy compliance, using TensorFlow object detection.
FLAME dataset and deep learning models for fire detection in aerial imagery using UAVs, supporting classification and segmentation tasks.
Neural machine translation between Shakespearean and modern English using TensorFlow.
A deep convolutional neural network that predicts RNA-seq coverage at 32bp resolution from DNA sequence.
A self-supervised deep learning model for extrinsic calibration between LiDAR and camera sensors using 3D spatial transformer networks.
Deep reinforcement learning framework for financial trading using price trailing, implemented with Keras-RL for Forex markets.
A large-scale driving behavior dataset with LiDAR point clouds, dashboard videos, and sensor data for autonomous driving research.
A statistical natural language generator for spoken dialogue systems, supporting both A*-search and seq2seq algorithms.
A TensorFlow CNN implementation for Chinese character recognition, achieving 92.5% top-1 accuracy with batch normalization.
A semi-automated pipeline for instance-aware cell segmentation, tracking, and migration analysis in phase contrast microscopy using Mask R-CNN.
A Scala and JVM machine learning toolbox for research, education, and industry with an interactive REPL and end-to-end pipelines.
A convolutional neural network model built with Keras for recognizing captcha images generated by the Laravel Captcha library.
A simulation-based deep learning approach to enhance the resolution of 3D lidar point clouds for ground vehicles.
A curated collection of tools, tutorials, models, and resources for mastering TensorFlow.js.
A TensorFlow implementation of neural text generation from structured data, converting tabular information into natural language summaries.
A deep learning model using generative adversarial networks for fast compressed sensing MRI reconstruction.
A Keras implementation of Microsoft's R-NET neural network for question answering on the SQuAD dataset.
A Python machine learning and informatics suite for analyzing, mining, and modeling chemical and materials data.
A collection of examples demonstrating how to use Comet.ml for machine learning experiment tracking across various Python frameworks.
A TensorFlow C API wrapper enabling machine learning in server-side Swift applications.
A trading environment for reinforcement learning agents, supporting backtesting, live trading, and multiple RL algorithms.
A neuroevolution-based trading bot that evolves populations of neural networks to trade cryptocurrency using technical analysis.
A Python library that builds neural networks with minimal boilerplate code for PyTorch and TensorFlow.
A genetic programming platform for Python with TensorFlow for fast CPU and GPU symbolic regression and classification.
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