merajat Goto Github PK

2018-machinelearning-lectures-esa

Machine Learning Lectures at the European Space Agency (ESA) in 2018

annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

applied-dl-2018

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

attention-analysis

augmentor

Image augmentation library in Python for machine learning.

autograd

coding an autograd from scratch

awesome-cs-books

:books: Awesome CS Books/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. :dizzy: 优秀计算机科学与技术领域相关的书籍归档。

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-mlops

A curated list of references for MLOps

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-scalability

High Scalability, High Availability, High Stability, High Performance, and High Intelligence Back-End Design Patterns

awesomemle

basenet

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bert

bert-pytorch

Google AI BERT 2018 pytorch implementation

bert-relation-extraction

Extract relations from text using BERT model

better-python-59-ways

Code Sample of Book "Effective Python: 59 Specific Ways to Write Better Pyton" by Brett Slatkin

better_python

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

biobert

BioBERT: pre-trained biomedical language representation model for biomedical text mining

boxlm

chatsummarizer

Building a Slack Channel Summarizer

computer-vision-basics-with-python-keras-and-opencv

Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.

coms4995-s19

COMS W4995 Applied Machine Learning - Spring 19

conversational-datasets

Datasets for conversational AI

cortex

Deploy machine learning models in production

cosmos

Algorithms that run our universe | Your personal library of every algorithm and data structure code that you will ever encounter

course-content

Summer course content for Neuromatch Academy