cj401's repositories
bayespy
Bayesian Python: Bayesian inference tools for Python
bnpy
Bayesian nonparametric machine learning for Python
competitive_programming
competitive programming
convnet-drawer
Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions
DataSciencePython
common data analysis and machine learning tasks using python
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Grokking-Deep-Learning
this repository accompanies my forthcoming book "Grokking Deep Learning"
Hands-On-Markov-Models-with-Python
Hands on Markov Models with Python, published by Packt
hdbscan
A high performance implementation of HDBSCAN clustering.
hypertools
A Python toolbox for gaining geometric insights into high-dimensional data
loss-landscape
Code for visualizing the loss landscape of neural nets
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
medpy
Medical image processing in Python
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
probability
Probabilistic reasoning and statistical analysis in TensorFlow
psiTurk
An open platform for science on Amazon Mechanical Turk.
pyclustering
pyclustring is a Python, C++ data mining library.
pyprobml
Python code for "Machine learning: a probabilistic perspective"
pyro
Deep universal probabilistic programming with Python and PyTorch
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
resources
PyMC3 educational resources
siml
Machine Learning algorithms implemented from scratch
ssm
Bayesian learning and inference for state space models
statsmodels
Statsmodels: statistical modeling and econometrics in Python
TCN
Sequence modeling benchmarks and temporal convolutional networks
uis-rnn
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
unet
unet for image segmentation