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algo-1

FX-DASHBOARD

algorithms

:bulb: Minimal examples of data structures and algorithms in Python

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-drupal

A curated list of amazingly awesome Drupal open source, resources and shiny things.

awesome-embedding-models

A curated list of awesome embedding models tutorials, projects and communities.

awesome-nlp

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

bert

TensorFlow code and pre-trained models for BERT

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

d3-dsv

A parser and formatter for delimiter-separated values, such as CSV and TSV.

data-science-ipython-notebooks

Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deep-learning-illustrated

Deep Learning Illustrated (2019)

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

devol

Automated deep neural network design via genetic programming

django-for-data-analysis-nicar-2016

So you've gone through a Django tutorial or two, maybe even built an app, and want to know how to use it for your reporting.

django-rest-pandas

Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)

djangoanalytics

finance

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow >= 1.12

graphite-web

A highly scalable real-time graphing system

hierarchical-classification

Supervised learning algorithm, using text processing and k-NN, for the classification of 200k clothing products into hierarchical categories.

js-xlsx

Spreadsheet Parser and Writer

ktrain

ktrain: a lightweight wrapper for Keras to help train (and deploy) neural networks

mftracker

MF Tracker made in python using OpenCV 2.3.1 and SimpleCV

model_search

models

Models built with TensorFlow

multi-label-text-classification-using-bert

Multi Label text classification using bert

netron

Visualizer for neural network, deep learning and machine learning models

neural_complete

A neural network trained to help writing neural network code using autocomplete