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fastai

The fast.ai deep learning library, lessons, and tutorials

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.12

fraud-prediction

Fraud hosts with substantial amount of fraudulent traffic using the impression logs for selected IP addresses

gan_tutorial

Tensorflow example of a conv GAN on MNIST.

house-cost-regression

Non linear regression on housing dataset using a Neural Networks based approach

how-does-word2vec-work

How does Word2Vec work ?

id-cgan

Image De-raining Using a Conditional Generative Adversarial Network

integer-to-k_ary-encoder-decoder

Binary to Decimal Encoder-Decoder using RNN with tensorflow

interview_help

Interview Questions for practice!

intro-to-parallel-programming

As a part of Udacity's course on Intro to Parallel Programming

jep

k-nearest-neighbors

Nearest Neighbor classification for CIFAR-10

k_means_clustering

This is the code for "K-Means Clustering - The Math of Intelligence (Week 3)" By SIraj Raval on Youtube

kernelperceptron

Classification on the Web Spam Dataset using Percepton and Kernel Perceptron with Polynomial, Gaussian, Exponential and Laplacian Kernels.

large-scale-sparse-models

In this work, we consider learning sparse models in large scale setting, where the number of samples and the feature dimension can grow as large as millions or billions. Two immediate issues occur under such challenging scenarios: (i) com- putational cost; (ii) memory overhead.

learning-to-represent-text

Learning to represent text using Word2Vec

lenet

lightweight-human-pose-estimation.pytorch

Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

livechess2fen

Predict live chess games into FEN notation.

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

machine-learning-finance

Part of the ML for Finance course at Udacity

mit-6.s094-deep-learning-for-self-driving-cars

model-compression

Reduce the model complexity by 612 times, and memory footprint by 19.5 times compared to base model, while achieving worst case accuracy threshold.

models

Models and examples built with TensorFlow

naive_bayes_classifier

This is the code for "Probability Theory - The Math of Intelligence #6" By Siraj Raval on Youtube

naivebayes

A naive bayes algorithm is implemented on the Reuters dataset for topic classification("earn" or "acq")

neural_network_and_deep_learning

Coursework from deeplearning.ai

neural_networks

This is the code for "Neural Networks - The Math of Intelligence #4" by Siraj Raval on Youtube

ocr

Detect and recognize characters in a fixed-resolution setting

opencv-examples

OpenCV examples with python