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An idiomatic, lean, fast & safe pure Rust implementation of Git
OnnxTR a docTR (Document Text Recognition) library Onnx pipeline wrapper - for seamless, high-performing & accessible OCR
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
A Python application for tracking, reporting on timing and complexity in Python code
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
cleanpy is a CLI tool to remove caches and temporary files related to Python.
Simple, powerful, and fast logging for Python.
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Dockerfile linter, validate inline bash, written in Haskell
Vim-fork focused on extensibility and usability
curl-like access to AWS resources with AWS Signature Version 4 request signing.
scikit-learn: machine learning in Python
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!
Pointers to useful, well-written, and otherwise beautiful documentation.
Geometric Computer Vision Library for Spatial AI
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Anomaly detection related books, papers, videos, and toolboxes
A unified framework for machine learning with time series
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125