Christopher Bonnett's repositories
deep_learning_cookbook
Deep Learning Cookbox
02456-deep-learning
Exercises and supplementary material for the deep learning course 02456.
bayesian_dense
Bayesian Weight Uncertainty Dense Layer for Keras
bottleneck
Fast NumPy array functions written in C
dist-keras
Distributed deep learning with Keras and Apache Spark.
efficientnet
Implementation on EfficientNet model. Keras.
genomeview
An extensible python-based genomics visualization engine
kaggle-facial-keypoints-detection
Kaggle "Facial Keypoints Detection" competition.
keras-tuner
Hyperparameter tuning for humans
llama_index
LlamaIndex (GPT Index) is a data framework for your LLM applications
LSSTC-DSFP-Sessions
Lecture slides, Jupyter notebooks, and other material from the LSSTC Data Science Fellowship Program
minimal_vae
A minimal implementation of an Variational Auto-Encoder
missingno
Missing data visualization module for Python.
Mixture-Density-Networks-for-distribution-and-uncertainty-estimation
A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow.
pandas-workshop
An introductory workshop on pandas with notebooks and exercises for following along.
rst-cheatsheet
A two-page cheatsheet for restructured text
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
vadam
Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava
WhileMyMCMCGentlySamples
my blog