Stars
A high-performance, zero-overhead, extensible Python compiler using LLVM
Things you can do with the token embeddings of an LLM
Fills out the Panda Express Survey Form in seconds to get your free entree
Official code for "RB-Modulation: Training-Free Personalization of Diffusion Models using Stochastic Optimal Control"
Lightweight network IP scanner. Can be used to notify about new hosts and monitor host online/offline history
boxxy puts bad Linux applications in a box with only their files.
GUI analyzer for deep-diving into PDF files. Detect malicious payloads, understand object relationships, and extract key information for threat analysis.
A temporary email right from your terminal written in POSIX sh
A JAX research toolkit for building, editing, and visualizing neural networks.
A high-throughput and memory-efficient inference and serving engine for LLMs
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
A fork of NewPipe that implements SponsorBlock and ReturnYouTubeDislike.
SEED-Story: Multimodal Long Story Generation with Large Language Model
Capturing SSL/TLS plaintext without a CA certificate using eBPF. Supported on Linux/Android kernels for amd64/arm64.
The modern API client that lives in your terminal.
A private network system that uses WireGuard under the hood.
SQL reporting that Just Works. Fast, simple, and confusion-free. Write and share queries in a delightful SQL editor, with AI assistance.
Convert Compute And Books Into Instruct-Tuning Datasets! Makes: QA, RP, Classifiers.
A simple tool for visually comparing two PDF files
kjk / edna
Forked from heyman/heynoteNote taking for developers and power users
[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
Open Source framework for voice and multimodal conversational AI
A massively parallel, high-level programming language
🖼️ A command-line system information tool written in bash 3.2+
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.