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Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Models and examples built with TensorFlow
A curated collection of Rust projects related to neural networks, designed to complement "Are We Learning Yet."
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
High-performance MinHash implementation in Rust with Python bindings for efficient similarity estimation and deduplication of large datasets
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow
A syntax-highlighting pager for git, diff, grep, and blame output
A fast static site generator in a single binary with everything built-in. https://www.getzola.org
Empowering everyone to build reliable and efficient software.
A lightweight and high-performance reverse proxy for NAT traversal, written in Rust. An alternative to frp and ngrok.
A terminal workspace with batteries included
A high-performance observability data pipeline.
Fast solution to "The One Billion Row Challenge" implemented in Rust
Neural network learns to play snake in a terminal, built in Rust with Ratatui
Custom hash algorithm used by rustc (plus hashmap/set aliases): fast, deterministic, not secure
Popoki (cat in hawaiian) is a faster Wordle solver built in Rust using Information Theory.
Svart: A high-performance vector database in Rust. Named after the Swedish word for 'black,' Svart aims for sleek and efficient data indexing and retrieval.
Hammare (hammer in swedish) is a simple text editor built with Rust
[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.