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209-hw

EE 209 hw 1

209-hw3

209hw3

attackbox

boundary-attack

Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models." arXiv preprint arXiv:1712.04248 (2017).

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

cka-centered-kernel-alignment

Reproduce CKA: Similarity of Neural Network Representations Revisited

crnn-ctc-loss-pytorch

Multi-Digit Sequence Recognition With CRNN and CTC Loss Using PyTorch Framework

cs-m146

My work for CS/ECE M146 (Introduction to Machine Learning) taken at UCLA in the Spring of 2020.

decouple-roi-pooling

Decouple roi pooling for object detection

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplab-pytorch

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

ece-180-2022-fall

ee209-hw4

ee209 hw4

examples

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

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fasterrcnn

my faster_rcnn

fpn_pytorch

Base jwyang/fpn.pytorch, train FPN on Pascal VOC get 80.5 mAP

images

jemdoc

Light text markup for creating websites

leetcode

my solutions to leetcode online programming questions

leetcode-summary

Summary to leetcode solution

libsvm

lstm-gru-pytorch

LSTM and GRU in PyTorch

models

Models and examples built with TensorFlow

mygithub

nearest-neighbor-classifier

ourlovestoryzypq

policy-gradient-methods-and-their-applications-in-computing-resources-scheduling

A project to fulfill course requirements (Reinforcement Learning Theory and Applications) at UCLA

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-caffe

load caffe prototxt and weights directly in pytorch