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cs231n

cs231n assignments https://ghli.org

cs231n-1

斯坦福 cs231n 作业代码实践

cs231n-2

my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cs231n-2019

Solutions to Assignments of CS231n: Convolutional Neural Networks for Visual Recognition(http://cs231n.github.io/)

cs231n-convolutional-neural-networks-solutions

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

cs231n.github.io

Public facing notes page

cs231n_spring_2017_assignment

My implementations of cs231n 2017

cs234-reinforcement-learning-winter-2019

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

cs273a-17fall

cs273b

CS273B Deep Learning for Genomics Course Materials

cs273b-project

Genome-scale high-resolution mapping of activating and repressive nucleotides in regulatory regions

ct-cycle_idnetity_gan_tensorflow

Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT Angiography

cvd-risk-estimator

A deep learning model (Tri2D-Net) for predicting cardiovascular disease risks from lung cancer screening LDCT

cvdprediction

Using deep learning and machine learning to predict Cardiovascular disease(CVD)

cvpr2020-plant-pathology

cyber-security

Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities

cybersecurity-data-science-on-udemy

Code and data for Cybersecurity Data Science on Udemy

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

darts

Differentiable architecture search for convolutional and recurrent networks

data-camp-statements-of-accomplishment

The Data Camp Statements of Accomplishment for Matthew W. Noble

data-exploration

data-science

R , Python, Machine Learning, Data Analysis, Data Visualization,Data Manipulation,Data Cleaning

data-science-1

:bar_chart: Path to a free self-taught education in Data Science!

data-science-blogs

A curated list of data science blogs

data-science-for-genomics

data-science-in-stratified-healthcare-and-precision-medicine

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.