Varal7 / Ml Tutorial

Official Python SDK for Hyperdash

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

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

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

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).

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

PyData Cookbook Project

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

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

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

Deep learning for MIR

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

Fast and memory-efficient clustering

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

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

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

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