parthamaji Goto Github PK

cadl

Course materials/Homework materials for the Kadenze Academy course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

cnaps

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

convnet-burden

Memory consumption and FLOP count estimates for convnets

core-python-programming-2nd-edition-examples-and-source-code

Examples and source code from the book

coursera-ml

use numpy and tensorflow to implement these basic ML model and learning algorithm

courses

fast.ai Courses

cpp-primer

C++ Primer 5 answers

falcon

Library for fast image convolution in neural networks on Intel Architecture

fast-probabilistic-models

laff

Learn the theory of linear algebra hand-in-hand with the practice of software library development.

langchain-tutorials

Overview and tutorial of the LangChain Library

librotensorflow

Tutorial básico de uso de TensorFlow

models

Models built with TensorFlow

mytensorflow

parthamaji.github.io

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://arxiv.org/abs/1812.00332

pymf

Python Matrix Factorization Module

resnet-tf

ResNet Implementation in TensorFlow

scale-sim

skimcaffe

Caffe for Sparse Convolutional Neural Network

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

tensorflow

Computation using data flow graphs for scalable machine learning

tf-variational-dropout

Sparsifying Variational Dropout in Tensorflow

tflearn

Deep learning library featuring a higher-level API for TensorFlow.

weight_uncertainty

Implementing Bayes by Backprop

wincnn

Winograd minimal convolution algorithm generator for convolutional neural networks.