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acm2017_abc

Approximate Bayesian Computation (Applied Cognitive Modeling course 2017)

advanced-data-structures-and-algorithms-in-python

Advanced Data Structures and Algorithms in Python [Video], published by Packt

advanced-lane-detection

Model for the extraction of lane lines, both curved and straight, from the road. Augmented the lane area, as well added important metrics, such as cars distance from the center of the road. Implemented with OpenCV and python.

advancedoptml

CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

ai_study

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

bat_interviews

:blue_book: 分享最新BAT面试题(包含机器学习,Linux,PHP,大数据,Python,Java,前端...),持续更新ing...

bayesian-machine-learning

Notebooks related to Bayesian methods for machine learning

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

bayesian_calibration

Bayesian calibration using Tensorflow Probability

cocoapi

Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

deep-tutorials-for-pytorch

In-depth tutorials for implementing deep learning models on your own with PyTorch.

deeplab_retrain_ade20k_colab

Colaboratory (Jupyter) notebook to retrain model for semantic segmentation in Deeplab, Tensorflow. Initial model is MobileNet or Xception with ADE20K dataset. Derived from Tensorflow official demo.

deeplearningframeworks

Demo of running NNs across different frameworks

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

echo-state-networks

Echo State Networks with TensorFlow

effectivetensorflow

TensorFlow tutorials and best practices.

fastai

The fastai deep learning library, plus lessons and tutorials

gasyori100knock

画像処理100本ノックして画像処理を画像処理して画像処理するためのもの For Japanese, English and Chinese

generative-adversarial-network-tutorial

Tutorial on creating your own GAN in Tensorflow

gpschool.github.io

gpss17

Gaussian Process and Uncertainty Quantification Summer School 2017

gpy

Gaussian processes framework in python

hackerrank-solutions

hackerrank video tutorial|hackerrank | hackerrank cracking the coding interview | hackerrank data structures | hackerrank java | hackerrank algorithms | hackerrank youtube | hackerrank solution | hackerrank challenge | hackerrank solutions | hackerrank coding challenge | hackerrank problems | hackerrank algorithms solutions | hackerrank cracking the coding interview solutions | hackerrank problem solving | coding interview | coding | programming | JAVAAID | Kanahaiya Gupta | Coding Interview Preparation

interpretable-ml-book

Book about interpretable machine learning

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）