5980 Open source projects that are alternatives of or similar to Ada Build

The curriculum of Techtonica, a free tech training and job placement program for women and non-binary adults with low incomes.

TensorFlow documentation

A library providing various existing GANs in PyTorch.

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

TensorFlow implementation for audio neural style.

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.

Welcome to the one point community-driven encyclopedia for anything in technology.

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

This repository provides train＆test code, dataset, det.&rec. annotation, evaluation script, annotation tool, and ranking.

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

Native Python WFDB package

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Pelican plugin for blogging with Jupyter/IPython Notebooks

Book and code for Think Complexity, 2nd edition

An intro to Python & programming for wanna-be data scientists

😺 Running Hashcat on Google Colab with session backup and restore.

Labs for Course DP-100: Designing and Implementing Data Science Solutions on Microsoft Azure

This is the code for "A Guide to Building Your First Decentralized Application" by Siraj Raval on Youtube

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Completed the CS231n 2017 spring assignments from Stanford university

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

Machine Learning

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

✨ The extension for Altair, matplotlib, and Plotly animations

Automatically generate headlines to short articles

Codes for Kaggle Competitions

A guide to document clustering in Python

Solve captcha without manually labeling a training set

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Faster R-CNN for Open Images Dataset by Keras

The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020

Companion repository for the book Building Machine Learning Powered Applications

A collection of notebooks for Natural Language Processing from NLP Town

IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

Detects clickbait headlines using deep learning.

Coursera/Stanford Machine Learning course assignments in python

Python library for Multi-Armed Bandits

tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》

My solutions to Kevin Murphy Machine Learning Book

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Tensorflow tutorial of building different dynamic recurrent neural network

Course repo for Applied Natural Language Processing (Spring 2019)

机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)

Train a state-of-the-art yolov3 object detector from scratch!

深度学习入门教程, 优秀文章, Deep Learning Tutorial

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

This is the implementation of paper <Additive Margin Softmax for Face Verification>

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course

Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

Deep Learning (with PyTorch)