5921 Open source projects that are alternatives of or similar to Notes Linear Algebra

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

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

Introduction to ML packages for the 6.86x course

Fast and memory-efficient clustering

Project containig related material for my TensorFlow articles

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

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

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

Code release for "learning to find good correspondences" CVPR 2018

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

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).

Reference deployment of JupyterHub and nbgrader on a single server

PyData Cookbook Project

Realistic Handwriting with Tensorflow

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

Data, Benchmarks, and methods submitted to the M5 forecasting competition

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

[ko] 패스트캠퍼스 강의 자료

Deep learning for MIR

A Repository of Notebooks for the Python Lecture Site

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

Quantum Challenge problem sets

Representing research papers as vectors / latent representations.

Deep Learning with TensorFlow 2 and Keras, published by Packt

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

FaceNet for face recognition using pytorch

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

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

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

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

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

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

Optimization Examples with SigOpt

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

just some code snippet

Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio)

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

LargitData Course Material

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

A seq2seq model that can correct spelling mistakes.

Contains Jupyter Notebooks of stuff I am working on.

Code snippets from Kite blog posts

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

Detecting and counting small objects - Analysis, review and application to counting

Official Python SDK for Hyperdash

Run any standard Python code quality tool on a Jupyter Notebook

爬虫+数据分析实战项目

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

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

Materials for a short course on convex optimization.

python tutorial

Code for a workshop on statistical interference using computational methods in Python.

Visualizations based on best open science practices.

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