cj401's repositories
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
data-science-question-answer
A repo for data science related questions and answers
deep-learning-notes
My CS231n lecture notes
deepbayes-2018
Seminars DeepBayes Summer School 2018
DeepHPMs
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
DropoutUncertaintyExps
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
enterprise_gateway
A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.
gsoc17-hhmm
Bayesian Hierarchical Hidden Markov Models applied to financial time series, a research replication project for Google Summer of Code 2017.
hw
Just another repository.
ISTA-Net
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing (Tensorflow Code)
Jalali-Lab-Implementation-of-RAISR
Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to speed up the Python code. A very parallelized Python code employing multi-processing capabilities is used to speed up the testing process. The code has been tested on GNU/Linux and Mac OS X 10.13.2 platforms.
K-Nearest-Neighbors-with-Dynamic-Time-Warping
Python implementation of KNN and DTW classification algorithm
kaggle
kaggle
keras-data-generator
Template for data generator in Keras
lucid
A collection of infrastructure and tools for research in neural network interpretability.
mcdowell-cv
A Nice-looking CV template made into LaTeX
NAB
The Numenta Anomaly Benchmark
notes
CME211 Notes | Outline ->
notes-on-dirichlet-processes
:game_die: Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
pygbm
Experimental Gradient Boosting Machines in Python with numba.
pyhht
Python toolbox for the Hilbert-Huang transform
Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
tinyflow
Tutorial code on how to build your own Deep Learning System in 2k Lines
VITutorial
This repository stores slides for a tutorial on variational inference for NLP audiences.
wxpy
微信机器人 / 可能是最优雅的微信个人号 API ✨✨