MrCrHaM's Stars
tinyzqh/awesome-machine-learning
Learning Resources And Links Of Machine Learning(updating)
lakshayg/tensorflow-build-archived
TensorFlow binaries supporting AVX, FMA, SSE
fab-jul/imgcomp-cvpr
TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018
hhatto/nude.py
Nudity detection with Python
kerasking/book-1
book
fhkingma/bitswap
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables
nchopin/particles
Sequential Monte Carlo in python
pykalman/pykalman
Kalman Filter, Smoother, and EM Algorithm for Python
rlabbe/filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
twairball/keras-subpixel-conv
Keras / TF subpixel convolution
fab-jul/L3C-PyTorch
PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"
tensorflow/models
Models and examples built with TensorFlow
tobegit3hub/tobe-algorithm-manual
Tobe Algorithm Manual