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pyimagesearch

Diving into PyImageSearch

pysofia

bindings for the sofia-ml machine learning library

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-deep-learning-minicourse

Minicourse in Deep Learning with PyTorch

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

pytorch-yolov3

Minimal PyTorch implementation of YOLOv3

recurrent-face-alignment

Xi Peng et al. "A Recurrent Encoder-Decoder Network for Sequential Face Alignment", ECCV 2016. (Oral)

scalismo

Scalable Image Analysis and Shape Modelling

scikit-learn

scikit-learn: machine learning in Python

see

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

seeing-theory

A visual introduction to probability and statistics.

seeing-theory-2

Seeing Theory is a project designed and created by Daniel Kunin with support from Brown University's Royce Fellowship Program and National Science Foundation group STATS4STEM. The goal of the project is to make statistics more accessible to a wider range of students through interactive visualizations.

siamese-networks-for-one-shot-learning

Implementation of Siamese Neural Networks for One-shot Image Recognition

siamese-networks-tf

Implementation of Siamese-Networks for One Shot Learning in TensorFlow 2.0

sku110k_cvpr19

stat110notes

In this repo I have maintained my note from this Stat 110 course

statisticallearning

Jupyter notebooks explaining concepts from online stanford course know as Statistical learning by Trevor Hastie and Robert Tibshirani

studious-practices

My attempts at implementing range of(complexity wise) algorithms and common linear algebric computations, may be using openCL.

superviseddescent

C++11 implementation of the supervised descent optimisation method

sw_characters

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tedtalksnotes

templatetracker

Template Tracker based on Correlation Filters

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-tutorial

Code and examples for Initialized's Introduction to Tensorflow Tutorial

tesseract

Tesseract Open Source OCR Engine (main repository)

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

thinkstats2

Text and supporting code for Think Stats, 2nd Edition