Solve captcha without manually labeling a training set
- keras
- gan
- neural-network
- generative-adversarial-network
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Solve captcha without manually labeling a training set
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
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optimization routines for hyperparameter tuning
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
Reference mapping for single-cell genomics
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
TranslatedLearning machine learning and quantitative analysis, in progress
Implementation of various topic models
Deep Reinforcement Learning for de-novo Drug Design
Tensorflow implementation of "Learning Deep Features for Discriminative Localization"
Fusing Histology and Genomics via Deep Learning - IEEE TMI
An OCaml kernel for Jupyter (IPython) notebook
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
TranslatedLLM teaching material for high school students: based on Karpathy's microgpt, for Google Colab
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Open source remote sensing dataset with benchmarks
Materials for GWU DNSC 6279 and DNSC 6290.
Python for chemoinformatics
scikit-learn wrappers for Python fastText.
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
ChatGPT Python Applications integrated with third party libraries and modules