Search Results for "bingo python code" - Page 100
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Showing 2488 open source projects for "bingo python code"
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Meta-Llama-3-8B-Instruct
Instruction-tuned 8B LLM by Meta for helpful, safe English dialogue
... available data and more than 10 million human-annotated examples, it excludes any Meta user data. The model is released under the Meta Llama 3 Community License, which allows commercial use for organizations with fewer than 700 million MAUs, and imposes clear use, attribution, and redistribution rules. Meta provides safety tools like Llama Guard 2 and Code Shield to help developers implement system-level safety in applications. -
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Petoron core (ADC)
An open source blockchain written from scratch in Python.
1,000,000,000 ADC issue. 0 commissions on transfers until the last coin is mined, then smart commissions are included, % of which goes directly to miners. A unique authorization system based on a rubik's cube that is not stored anywhere. If you lose your Cube, forget about your wallet forever. Its own code, and its own data storage system. No third-party dependencies. The network heals itself, deleted or changed chain or balances? The system will restore itself, without your... -
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Firefly's Clean Lzo
A human-readable ISC-Licensed implementation of the LZO1X algorithm.
LZO is a compression library which is widely used around the world. The main problem with LZO is that it is absolutely not human readable. People have done crazy stuff to get LZO to run in their language. Usually it implies inline assembly or trying to execute data which actually contains machine code. This is sick. Whoever is responsible for this sorry situation ought to be ashamed. So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C... -
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golib
C++ collection mostly for image processing
libGo is a C++ class library containing all kinds of things that proved useful to me. Included are: - Linear algebra, using LAPACK and CBLAS - V4L(1) image grabber - Multithreading - Image containers (up to 3D) - Some simple optimisation code - Python embedding helper - Matlab interface - .. and other things, have a look at the HTML documentation! golib grew over many years, things I had use for have been added now and then. Some parts are better taken care of than others... -
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SoGui est un toolkit graphique C++ multiplate-forme (Windows/X11). SoGui permet donc de créer des interfaces GUI de façon portable sur Windows, GNU/Linux, *BSD, etc. SoGui est aussi utilisable en C et en Python.
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Raku-DSL-Shared
Raku package for DSL shared utilities and grammar roles.
This repository provides a Raku package for shared utilities and (grammar) roles in the package context "DSL::". ("DSL" stands for "Domains Specific Language".) The initial versions of the code in this repository can be found in the GitHub repository [AAr1]. ## Utilities One of the reasons for making this package is to encapsulate and easily share utilities for making DSL translators. Here are "the first wave" utilities: Modify token patterns to include fuzzy matching Merge... -
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DeepSWE-Preview
State-of-the-art RL-trained coding agent for complex SWE tasks
... scaling, and innovative policy gradient strategies adapted from GRPO, DAPO, Dr.GRPO, and RLOO. DeepSWE-Preview showcases strong reasoning, file navigation, and patch submission skills. It is ideal for agent-based code repair, debugging, and PR generation across real-world repositories. The model is served using platforms like vLLM and Hugging Face TGI, with support for 64k context length and OpenAI-compatible APIs. -
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Llama-2-7b
7B-parameter foundational LLM by Meta for text generation tasks
... processing tasks, such as summarization, completion, and code generation. It demonstrates solid performance on academic benchmarks like MMLU and TruthfulQA, improving on its predecessor, Llama 1. The Llama-2-7B model is released under Meta’s Llama 2 Community License, which allows for commercial use under certain conditions, especially for companies with fewer than 700 million MAUs. -
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FLUX.1-schnell
12B-parameter image generator using fast rectified flow transformers
FLUX.1-schnell is a 12 billion parameter text-to-image model developed by Black Forest Labs, designed for high-quality image generation using rectified flow transformers. It produces competitive visual results with strong prompt adherence, rivaling closed-source models in just 1 to 4 inference steps. Trained using latent adversarial diffusion distillation, the model is optimized for both quality and speed. It is released under the Apache 2.0 license, allowing commercial, scientific, and... -
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stable-video-diffusion-img2vid-xt
Generates high-quality short videos from a single still image input
Stable Video Diffusion Img2Vid XT is an advanced image-to-video latent diffusion model developed by Stability AI, designed to generate short video clips from a single static image. It produces 25 frames at 576x1024 resolution, offering improved temporal consistency by fine-tuning from an earlier 14-frame version. The model operates without text prompts and instead uses a single input frame to guide visual generation, making it ideal for stylized motion or animation. It includes both a... -
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Llama-3.3-70B-Instruct
Llama-3.3-70B-Instruct is a multilingual AI optimized for helpful chat
Llama-3.3-70B-Instruct is Meta's large, instruction-tuned language model designed for safe, multilingual, assistant-style conversations and text generation. With 70 billion parameters, it supports English, Spanish, French, German, Italian, Portuguese, Hindi, and Thai, offering state-of-the-art performance across a wide range of benchmarks including MMLU, HumanEval, and GPQA. The model is built on a transformer architecture with grouped-query attention, trained on over 15 trillion tokens and... -
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Llama-2-7b-hf
Llama-2-7B is a 7B-parameter transformer model for text generation
..., question answering, and code generation. Llama-2-7B outputs text only, with input also restricted to text. Fine-tuned variants of this model, such as Llama-2-Chat, demonstrate competitive performance in dialogue tasks and safety benchmarks, rivaling proprietary models. The model was trained using Meta’s infrastructure, including 184,320 GPU hours and emissions fully offset by Meta’s sustainability program. -
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OpenVLA 7B
Vision-language-action model for robot control via images and text
... supports real-world robotics tasks, with robust generalization to environments seen in pretraining. Its actions include delta values for position, orientation, and gripper status, and can be un-normalized based on robot-specific statistics. OpenVLA is MIT-licensed, fully open-source, and designed collaboratively by Stanford, Berkeley, Google DeepMind, and TRI. Deployment is facilitated via Python and Hugging Face tools, with flash attention support for efficient inference.
