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Zach Bessinger's Projects

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dlbb icon dlbb

:book: :hammer: DLBook Builder

fast-wavenet icon fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

fast-weights icon fast-weights

Implementation of Using Fast Weights to Attend to the Recent Past

gamez icon gamez

Automated Video Game Download for Sabnzbd

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

goread icon goread

google reader clone in go on app engine

gsn icon gsn

Efficient implementation of Generative Stochastic Networks

iffse icon iffse

Instagram Facial Feature Search Engine

im2recipe icon im2recipe

Code supporting the CVPR 2017 paper "Learning Cross-modal Embeddings for Cooking Recipes and Food Images"

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.

lectures-labs icon lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mdpm icon mdpm

Mid-level Deep Pattern Mining

memnn icon memnn

Memory Networks implementations

mingpt icon mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

ml-from-scratch icon ml-from-scratch

Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.

ml4a-guides icon ml4a-guides

practical guides, tutorials, and code samples for ml4a

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