Kumar Abhishek's repositories
CS229-Fall-2018-Problem-Solutions
Problem sets solutions of Stanford CS229 Fall 2018.
data-science-question-answer
A repo for data science related questions and answers
Awesome-Knowledge-Distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
CS224n-2019-solutions
Complete solutions for Stanford CS224n, winter, 2019
emotion-cause-extraction-dl-final-proj
Emotion-cause pair extraction
machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
own-DOS-Classifying-Imbalanced
Implementation of Deep Over-sampling Framework for Classifying Imbalanced Data
programming-talks
Awesome & Interesting Talks concerning Programming
PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
stanford-cs229
🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
awesome-blockchains
A collection about awesome blockchains - open distributed public databases w/ crypto hashes incl. git ;-). Blockchains are the new tulips :tulip::tulip::tulip:. Distributed is the new centralized.
awesome-microservices
A curated list of Microservice Architecture related principles and technologies.
awesome-scalability
High Scalability, High Availability, High Stability, High Performance, and High Intelligence Back-End Design Patterns
build-your-own-x
🤓 Build your own `insert technology here`. A curated collection of project-based programming tutorials.
course-gitbook
Full Stack Deep Learning Online Course
data-science-prep
Problems from https://datascienceprep.com/
educate-resource-for-machine-learning
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
How-to-build-own-text-summarizer-using-deep-learning
In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras
learn-regex
Learn regex the easy way
ML-Interview
Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews.
project-based-learning
Curated list of project-based tutorials
RTHN
The code of IJCAI2019 paper "RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction".
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)