TensorForce Bitcoin Trading Bot
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TensorFlow implementation of an arbitrary order Factorization Machine
- factorization-machines
- tensorflow
- research-project
Segment Anything for Microscopy
- microscopy-images
- segment-anything
- segmentation
- cell-segmentation
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.
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.
- ai
- graphs
- synerise
- embeddings
The repository host gives no description.
A tensorflow implementation of an HMM layer
- tensorflow
- tensorflow-hmm
- viterbi
- hmm
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
This trading-gym is the first trading for agent to train with episode of short term trading itself.
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
- tensorflow
- python3
- keras
- resnet-101
Analysis of High Frequency Trading on Bitcoin exchanges
🏃 The go-to single-cell Foundation Model
- batch-correction
- cell-biology
- celltype-annotation
- denoising
⬛ Python Individual Conditional Expectation Plot Toolbox
- machine-learning
- interpretability
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
- probabilistic-programming
- neural-network
- tensorflow
- keras-tensorflow
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets --- https://arxiv.org/abs/2004.07999
tutorials made for biologists to learn deep learning
- biologists
- keras
- deeplearning
- deep-learning
Cyber Defence Monitoring Course Suite :: Suricata, Arkime (and others in the past)
- moloch
- suricata
- monitoring
- nsm
Detecting cancers on mobile phones
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
- cell-annotation
- multiplexed-imaging
- mpif
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
- foundation-models
- gpt
- single-cell
Jupyterlab extension to show notebook cell completion notifications
- jupyter
- jupyterlab
- browser-notifications
- jupyterlab-extension
The repository host gives no description.