Search Results for "rope"
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Showing 24 open source projects for "rope"
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spyder
The scientific Python development environment
...The Editor’s key features include syntax highlighting (pygments); real-time code and style analysis (pyflakes and pycodestyle); on-demand completion, calltips and go-to-definition features (rope and jedi); a function/class browser, horizontal and vertical splitting, and much more. -
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How to Train Your GPT
Build a modern LLM from scratch. Every line commented
...The project covers the same broad family of architecture behind systems such as GPT-style models, LLaMA-style models, Claude-style systems, and Mistral-style models. It includes chapters and topic explainers on tokenizers, embeddings, attention, RoPE, RMSNorm, SwiGLU, KV cache, AdamW, mixed precision, training loops, and inference. The guide emphasizes writing every important component manually rather than only calling high-level APIs. Its purpose is to make the internals of language models understandable through runnable code and step-by-step explanations. -
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tiny-llm
A course of learning LLM inference serving on Apple Silicon
tiny-llm is an educational open-source project designed to teach system engineers how large language model inference and serving systems work by building them from scratch. The project is structured as a guided course that walks developers through the process of implementing the core components required to run a modern language model, including attention mechanisms, token generation, and optimization techniques. Rather than relying on high-level machine learning frameworks, the codebase uses... -
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GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs
GLM-4 is a family of open models from ZhipuAI that spans base, chat, and reasoning variants at both 32B and 9B scales, with long-context support and practical local-deployment options. The GLM-4-32B-0414 models are trained on ~15T high-quality data (including substantial synthetic reasoning data), then post-trained with preference alignment, rejection sampling, and reinforcement learning to improve instruction following, coding, function calling, and agent-style behaviors. The... -
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Qwen2.5-Omni
Capable of understanding text, audio, vision, video
Qwen2.5-Omni is an end-to-end multimodal flagship model in the Qwen series by Alibaba Cloud, designed to process multiple modalities (text, images, audio, video) and generate responses both as text and natural speech in streaming real-time. It supports “Thinker-Talker” architecture, and introduces innovations for aligning modalities over time (for example synchronizing video/audio), robust speech generation, and low-VRAM/quantized versions to make usage more accessible. It holds... -
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DeepSeek LLM
DeepSeek LLM: Let there be answers
...The model is trained from scratch, reportedly on a vast multilingual + code + reasoning dataset, and competes with other open or open-weight models. The architecture mirrors established decoder-only transformer families: pre-norm structure, rotational embeddings (RoPE), grouped query attention (GQA), and mixing in languages and tasks. It supports both “Base” (foundation model) and “Chat” (instruction / conversation tuned) variants. -
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Zee
A modern text editor for the terminal written in Rust
Zee is a modern editor for the terminal, in the spirit of Emacs. It is written in Rust and it is somewhat experimental. In the old tradition of text editor demos, here's what it currently looks like editing its own source code. -
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VRWorkout
High-intensity virtual reality workout game
...Engange your core muscles by reaching for higher targets. Pushups followed by jumps get your heart pumping. Classic pushup, one-armed planks and side planks. Fast and small jumps similar to skip rope jumping. A “workout first” VR music game with hand tracking based full-body exercises in boot camp style workouts, your fitness wins regardless of your score. Physically engaging experience with elements of calisthenics, high-intensity interval & circuit training. Activates your whole body compared to just certain areas with squatting, pushups, side planks, crunches, jumping, burpees and more. -
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Xi Editor
A modern editor with a backend written in Rust
...This separation lets the core focus on speed and concurrency, while multiple frontends (macOS, GTK, web) handle rendering, input, and platform bridging. Xi is designed to scale to huge files (gigabyte scale) without lag, thanks to a rope data structure and efficient diffing algorithms. Plugins communicate with the core via JSON-RPC, enabling asynchronous extensions without blocking editing responsiveness. The overall aim is to reimagine text editing for modern machines and workflows, delivering scalability, modularity, and an editor architecture built for the next decade. -
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The Rope Java Virtual Machine implements the Rope model which is a novel thread level speculative execution model called Rushing Object Parallel Environment. This is a research project aimed at exploiting parallelism in traditional object oriented programs.
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RoopeeLand
Object-Oriented Simple Text Adventure Set In RoopeeLand
...You can breathe, gravity is the same, and you appear to be in a dark, dense wood. You were wise enough to bring some useful survival stuff in a backpack: your smartphone, a compass, a hunting knife, a coil of rope, a lighter and 4 ration packs. You'll need them! -
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...Designed as an exercise in a kind of process oriented programming, this code includes keystroke buffers that empty in bursts for fancy complex game moves from the keyboard. Early use of a rope in a computer game [I think], also has pitons. A separate cliff editor allows you to create your own sets of cliffs. Become athletic and find yourself perched on a narrow ledge, at 2AM, without a rope.
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It is a sandbox game, based on physics. The game aim is to make contact red object with green object. You can use various objects, solid, wire (rope), and bendable objects. Gravitation will help you.
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Plague is a text base zombie apocalypse RPG game. It is made using Java with the compiler BlueJ and it is DOS driven. its started by typing "java Base.class" or running the batch files that are included
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This project moved to OCamlForge https://forge.ocamlcore.org/projects/rope/ This library implements ropes for OCaml (it is rich enough to replace strings).
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A sick and addictive arcade game. You control a hand holding some very heavy ball on a rope (physics simulation included), and there are a lot of enemies trying to eat your hand. You won't let them! Crush'em all with the ball!
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The Wireless Rope is a framework to experience and study the ubiquitous Bluetooth signals of the environment. Surrounding peoples' phones and places' computers can be detected, traced, and interacted with using the Wireless Rope mobile phone program.
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SOAP on a rope aims to provide useful clients for many of the SOAP-accessible services available on the internet. A variety of libraries, interfaces and programming languages will be used to create the clients.
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QwQ-32B
QwQ-32B is a reasoning-focused language model for complex tasks
...Recommended usage involves prompts starting with <think>\n, non-greedy sampling strategies, and support for standardized outputs on math and multiple-choice tasks. For long input handling, it supports YaRN (Yet another RoPE Namer) for context scaling. -
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Qwen2.5-14B-Instruct
Powerful 14B LLM with strong instruction and long-text handling
...It demonstrates improved performance in coding, mathematics, and multilingual understanding across over 29 languages. Qwen2.5-14B-Instruct is built on a transformer backbone with RoPE, SwiGLU, RMSNorm, and attention QKV bias. It’s resilient to varied prompt styles and is especially effective for JSON and tabular data generation. The model is instruction-tuned and supports chat templating, making it ideal for chatbot and assistant use cases. -
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Qwen3-Next
Qwen3-Next: 80B instruct LLM with ultra-long context up to 1M tokens
...With 80B total parameters and 3B activated at a time, it leverages hybrid attention (Gated DeltaNet + Gated Attention) and a high-sparsity Mixture-of-Experts architecture to achieve exceptional efficiency. The model natively supports a context length of 262K tokens and can be extended up to 1 million tokens using RoPE scaling (YaRN), making it highly capable for processing large documents and extended conversations. Multi-Token Prediction (MTP) boosts both training and inference, while stability optimizations such as weight-decayed and zero-centered layernorm ensure robustness. Benchmarks show it performs comparably to larger models like Qwen3-235B on reasoning, coding, multilingual, and alignment tasks while requiring only a fraction of the training cost. -
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Devstral Small 2
Lightweight 24B agentic coding model with vision and long context
Devstral Small 2 is a compact agentic language model designed for software engineering workflows, excelling at tool usage, codebase exploration, and multi-file editing. With 24B parameters and FP8 instruct tuning, it delivers strong instruction following while remaining lightweight enough for local and on-device deployment. The model achieves competitive performance on SWE-bench, validating its effectiveness for real-world coding and automation tasks. It introduces vision capabilities,...
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