My personal notes, presentations, and notebooks on everything Deep Learning.

Tools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)

统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp

PyData Cookbook Project

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

FaceNet for face recognition using pytorch

MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

A simpler version of the self-attention layer from SAGAN, and some image classification results.

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

Representing research papers as vectors / latent representations.

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

An enhanced interactive Shell for Common Lisp (based on the Jupyter protocol)

Quantum Challenge problem sets

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

Introduction to ML packages for the 6.86x course