The definitive list that answers "I want to do X in Python, which tool should I use?"
- awesome
- python
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Repository Index
47,133 repositories indexed
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🤗 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.
- nlp
- natural-language-processing
- pytorch
- pytorch-transformers
Open source software that helps you create and deploy high-frequency crypto trading bots
Mail-in-a-Box helps individuals take back control of their email by defining a one-click, easy-to-deploy SMTP+everything else server: a mail server in a box.
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
- ai-agent
- automation
- autonomous-agent
- browser-automation
Emulator for rapid prototyping of Software Defined Networks
- mininet
- openflow
- sdn
- emulator
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
- security
- kinesis
- serverless
- terraform
fast, simple packet creation / parsing, with definitions for the basic TCP/IP protocols
🕵️ Tool to reverse-engineer Protocol Buffers with unknown definition
- reverse-engineering
- protocol-buffers
- serialization
High level network definitions with pre-trained weights in TensorFlow
- tensorflow
- model
- zoo
- deep-learning
Traffic scenario definition and execution engine
- carla
- traffic-scenario
- openscenario
Funky takes shell functions to the next level by making them easier to define, more flexible, and more interactive.
Ferry lets you define, run, and deploy big data applications on AWS, OpenStack, and your local machine using Docker
⚡A curated list of awesome resources related to the Ⱥlgorand Blockchain ⛓
- awesome
- awesome-list
- algorand
- algorand-blockchain
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
- python3
- data-science
- machine-learning
- python
Build autonomous AI agents that interact with blockchains — in minutes, not months.
Mock an SSH server and define all commands it supports (Python, Twisted)
trycast parses JSON-like values whose shape is defined by TypedDicts and other standard Python type hints.
- parsing
- python
- typechecking
- runtime-typechecking
HIP-3 perp DEX on Hyperliquid for Solana memecoins graduating from pump.fun. GRAD index perp from $500K, own perps for coins that hold.
- defi
- hip-3
- hyperliquid
- market-maker
Convenient tools for using Swagger to define and validate your interfaces in a Pyramid webapp.
A script that inspects multi-byte character sets looking for characters with specific user-defined properties
The application allows you to trade on the outcomes of events, and follow the odds to garner accurate insights about the future. Users buy or sell Voting Shares, which can be redeemed for 1 unit of the stable asset if the outcome is resolved as correct, and become worthless if it’s incorrect.
Declarative data quality engine. Define checks in YAML, run anywhere.
- airflow
- anomaly-detection
- data-contracts
- data-quality