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100-days-of-ml-code

100 Days of ML Coding

algorithmic-problems

Solution to Algorithmic Problems

algorithms

Minimal examples of data structures and algorithms in Python

ascii-generator

ASCII generator (image to text, image to image, video to video)

attention-networks-for-classification

Hierarchical Attention Networks for Document Classification in PyTorch

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-scrapy

A curated list of awesome packages, articles, and other cool resources from the Scrapy community.

bangla-sign-language

This repository contains datasets for Bangla Sign Language characters and digits collected from different institutes near Dhaka, Bangladesh.

bert-toxic-comments-multilabel

Multilabel classification for Toxic comments challenge using Bert

code_search

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

community

A Python implementation of Girvan-Newman community detection algorithm for weighted graphs

conversational-recommendations

corpus-builder

toolkit for compiling corpus from various sources

crawling-with-apache-nutch

Information Retrieval and Web Search Engines - Crawling with Apache Nutch.

d2l-en

Dive into Deep Learning (CV chapters coming soon)

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

elasticsearch-spark-recommender

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

free-for-dev

A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

hdltex

HDLTex: Hierarchical Deep Learning for Text Classification

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

inltk

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

interactive-coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

learning-apache-spark

Notes on Apache Spark (pyspark)

lm-lstm-crf

Empower Sequence Labeling with Task-Aware Language Model

lstm-crf-pytorch

LSTM-CRF in PyTorch

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-interview

Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

mannequinchallenge

Inference code and trained models for "Learning the Depths of Moving People by Watching Frozen People."

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.