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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Command-line program to download videos from YouTube.com and other video sites
Models and examples built with TensorFlow
A curated list of awesome Machine Learning frameworks, libraries and software.
Hunt down social media accounts by username across social networks
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Federated query engine for AI - The only MCP Server you'll ever need
The fundamental package for scientific computing with Python.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Code for the paper "Language Models are Unsupervised Multitask Learners"
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Graph Neural Network Library for PyTorch
📷 Instagram Bot - Tool for automated Instagram interactions
Code samples for my book "Neural Networks and Deep Learning"
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Jupyter metapackage for installation and documentation
music library manager and MusicBrainz tagger
Python APIs for web automation, testing, and bypassing bot-detection with ease.
Implementation of Graph Convolutional Networks in TensorFlow
A Keras implementation of YOLOv3 (Tensorflow backend)
Everything about Web Application Firewalls (WAFs) from Security Standpoint! 🔥
common data analysis and machine learning tasks using python
Pythonic Smart Contract Language for the EVM
A collection of important graph embedding, classification and representation learning papers with implementations.