Sachin Abeywardana

deepschool.io. Deep Learning tutorials in jupyter notebooks.

KerasQuantileModel. Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.

doc2vec_tf. Doc2Vec implementation in tensorflow.

PyData_Keras_Talk. Jupyter Notebook

ProFeTorch. Time Series Analysis with Deep Learning.

Dockerfiles. A place where I build Dockerfiles used in other projects. Built in CircleCI.

bayes_school. Jupyter Notebook

torchlife. Survival analysis using Deep Learning.

xgboost_tut. Xgboost Machine Learning tutorial

Video_bbox. Python

Mario. Jupyter Notebook

xiaolinwu. This is the Xiaolin Wu line algorithm. It takes the end points of one line at a time and outputs the coordinates of the line between the end points. This improves upon the Breshenam line algorithm which simply outputs blocks and does not allow for a line to be part of two pixels (eg. a diagonal line).

DeepAR. Python

tensorboard_vis. Jupyter Notebook

sagemaker. Python

keraTorch. Jupyter Notebook

Twitter-mining. This package allows you to create a word-cloud and explore some of the word associations

language_translation. HTML

face_detect. Jupyter Notebook

YOLO_openCV_Keras. Keras implementation of yolo v3 object detection.

torchlife_. Jupyter Notebook

YoloV3_train. Training automation of yolo for one class

pose_estimation. Python

Traffic-Signs. HTML

word2vec_alternate. Jupyter Notebook

pymc3. Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

clip_jepa. Jupyter Notebook

maddpg. Multi agent DDPG

exp_mixtures. MATLAB

sypht_coding_challenge. Jupyter Notebook

tabnet. PyTorch implementation of TabNet paper

sachinruk.github.io. Jupyter Notebook

dqn_bananas. Jupyter Notebook

clip_huggingface. Python

iris_data. Jupyter Notebook

LunarLander. Jupyter Notebook

Standford_DL. Solutions for Deep Learning Exercises by Stanford

Estimation-of-Panels-with-Factor-Residuals. MATLAB