6105 Open source projects that are alternatives of or similar to Nbqa

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

Quantum Challenge problem sets

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

Deep Learning with TensorFlow 2 and Keras, published by Packt

[ko] 패스트캠퍼스 강의 자료

꼼꼼한 딥러닝 논문 리뷰와 코드 실습

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

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

Data from the largest and longest measurement of online tracking.

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

Visualizations based on best open science practices.

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

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

Contains Jupyter Notebooks of stuff I am working on.

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）

Official Python SDK for Hyperdash

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

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

Project containig related material for my TensorFlow articles

Create interactive webpages from Jupyter Notebooks

Introduction to ML packages for the 6.86x course

✊ Detect non-inclusive language in your source code.

🍇 Edit and execute code snippets in the browser using Jupyter kernels

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)

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

PyData Cookbook Project

A seq2seq model that can correct spelling mistakes.

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

just some code snippet

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

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

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

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

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

爬虫+数据分析实战项目

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

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

Deep learning for MIR

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

Fast and memory-efficient clustering

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

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

Representing research papers as vectors / latent representations.

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

Code snippets from Kite blog posts

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

FaceNet for face recognition using pytorch

Practical Time-Series Analysis, published by Packt

Optimization Examples with SigOpt

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

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

Reference deployment of JupyterHub and nbgrader on a single server

A Repository of Notebooks for the Python Lecture Site

Realistic Handwriting with Tensorflow

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).