Stars
High-performance TensorFlow library for quantitative finance.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
A cross-platform python based utility to download courses from udemy for personal offline use.
Python Module for Tabular Datasets in XLS, CSV, JSON, YAML, &c.
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
🌎 Simple and ready-to-use tutorials for TensorFlow
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
On-device wake word detection powered by deep learning
📀 Unlimited Google Drive Storage by splitting binary files into base64
A terminal-based presentation tool with colors and effects.
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Instant Stack Overflow results whenever an exception is thrown
Python library & console tool for controlling Xiaomi smart appliances
Browse Hacker News like a haxor: A Hacker News command line interface (CLI).
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Cartography is a Python tool that consolidates infrastructure assets and the relationships between them in an intuitive graph view powered by a Neo4j database.
📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
A simple app to get songs from YouTube in mp3 format with artist name, album name etc from sources like iTunes, Spotify, LastFM, Deezer, Gaana etc.
Computer Networks: A Systems Approach -- Textbook
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
📡 Organized Resources for Deep Learning Researchers and Developers