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adv360-pro-zmk

Production repository for the all-new Advantage360 Professional using ZMK engine

alpa

Training and serving large-scale neural networks

convolutional_neural_network

This is the code for "Convolutional Neural Networks - The Math of Intelligence (Week 4)" By Siraj Raval on Youtube

dl-exp-toolkit

Tools helping you set up deep learning experiments in a second

efficientthief

Knockoff Nets: Stealing Functionality of Black-Box Models

fashionclustering

forte-wrappers

Forte wrapper of third-party toolkits.

homework_fall2020

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

model-extraction-defense

pirlib

prediction-poisoning

Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)

projects

rmsync

A script for synchronizing the reMarkable e-reader

simanneal

Python module for Simulated Annealing optimization

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

stat-154-project

The goal of this project is the exploration and modeling of cloud detection in the polar regions based on radiance recorded automatically by the MISR sensor abroad the NASA satellite Terra.

study_notes

My Study Notes

texar-pytorch

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

universal-robust-attack

unsupervised-classification

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

vae_gan_learnable_loss

Repository for Berkeley STAT 157 semester project on attaching discriminatory network onto a variational autoencoder to provide a learnable loss function to replace a pixel-by-pixel loss function commonly used by conventional VAE implementation.

welcome