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edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

ee227c.github.io

EE227C (Spring 2018) Course page

eeap-examples

Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe

efficient-art-split-bregman-reconstruction

MATLAB code for an iterative reconstruction method that alternates a computationally efficient linear solver (ART) with a fast denoising step based on the Split Bregman formulation

einops

Deep learning operations reinvented (supports tf, pytorch, chainer, gluon and others)

elasticsearch-learning-to-rank

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

embedded-neural-network

collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning

entropy-sgd

Lua implementation of Entropy-SGD

essential-image-optimization

Essential Image Optimization - an eBook

etlpy

a smart stream-like crawler & etl python library

evaluating-recommenders

Compute and plot NDCG for a recommender system

eve

Source code for Eve: A Gradient Based Optimization Method with Locally and Globally Adaptive Learning Rates

evolute

Evolutionary algorithm toolbox

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

exams

Past Exams for UC Berkeley EECS Courses. PR more if you have!

experiment

experimental_neural_network_matlab

This is neural network library written in matlab designed around the need for experimentation. It provides all of the core functionality of neural networks, and extends upon that by providing many experimental functions. Training is implemented in a way that maximizes system resources and allows for easy testing of numerous combinations. Plotting and metric gathering is included. This library is currently considered Alpha, bordering on Beta. Everything works, but there hasn't been extensive testing done.

experiments_with_python

experiments with python

explainable-recommendation

explanatorygraph

Interpreting CNN Knowledge via an Explanatory Graph

explicit-vs-implicit

An experiment on explicit vs implicit feedback recommenders

facerecognition

活体人脸识别，识别人脸，识别张嘴和摇头动作，并拍照

facial-emotion-recognition-gluon

Apache MXNet Gluon implementation for state of the art FER+ paper for Facial Emotion Recognition - https://arxiv.org/abs/1608.01041

failures_of_dl

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fastai

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

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

feathercnn

FeatherCNN is a high performance inference engine for convolutional neural networks.

figaro

Figaro Programming Language and Core Libraries

finmathematics

Books