Segment Anything for Microscopy
- microscopy-images
- segment-anything
- segmentation
- cell-segmentation
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Segment Anything for Microscopy
Easy pipelines for pandas DataFrames.
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
This repo contains materials for use in a TensorFlow workshop.
The codes I made while I practiced various TensorFlow examples
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
Python package for Bayesian Machine Learning with scikit-learn API
Sources codes for: Mastering Python for Finance, Second Edition
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
optimization routines for hyperparameter tuning
Presentations from H2O meetups & conferences by the H2O.ai team
Jupyter's kernel for Elixir programming language
An OCaml kernel for Jupyter (IPython) notebook
This repository is a collection of TTS Models in TFLite
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
This repository is to create tflite models for the available ocr models
Docker container for Kafka - Spark Streaming - Cassandra
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Various Jupyter notebooks about Common Crawl data
Jupyterlab extension to show notebook cell completion notifications
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.