kywang Goto Github PK

adapt_yto

assignments

Assignments for the current iteration of COGS108.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-trajectory-prediction

cs131_notes

Class notes for CS 131.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningframeworks

Demo of running NNs across different frameworks

deeplearningproject

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

dl-setup

Instructions for setting up the software on your deep learning machine

doyouevenlearn

Essential Guide to keep up with AI/ML/CV/UNameIt

faster_rcnn_pytorch

Faster RCNN with PyTorch

fcn-semantic-segmentation

Fully convolutional networks for semantic segmentation

gfrnet

Dense image labeling in Caffe

gradient-checkpointing

Make huge neural nets fit in memory

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

lectures

Lecture materials for UCSD Cognitive Science (COGS) 108, Data Science in Practice.

machine_learning_basics

Plain python implementations of basic machine learning algorithms

mask-rcnn

A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

ml-pen-and-paper-exercises

Pen and paper exercises in machine learning

ml-videos

A collection of video resources for machine learning

mmdetection

Open MMLab Detection Toolbox

multi-object-tracking-paper-list

Paper list and source code for multi-object-tracking

ncrfpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

ng_ml

Andrew Ng's machine learning course implemented in Python