Search Results for "claw-code" - Page 50
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Showing 2671 open source projects for "claw-code"
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MiniChain
A tiny library for coding with large language models
...It includes model abstractions for language models as well as tools such as Python execution. A browser interface can display examples, subprompts, outputs, and queued runs for interactive demonstrations. The project emphasizes readable code and lightweight experimentation rather than a large production framework. -
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LM Human Preferences
Code for the paper Fine-Tuning Language Models from Human Preferences
...The repository includes scripts to train the reward model (learning to rank or score pairs of outputs), and to fine-tune a policy (a language model) with reinforcement learning (or related techniques) guided by that reward model. The code is provided “as is” and explicitly says it may no longer run out-of-the-box due to dependencies or dataset migrations. It was tested on the smallest GPT-2 (124M parameters) under a specific environment (TensorFlow 1.x, specific CUDA / cuDNN combinations). It includes utilities for launching experiments, sampling from policies, and simple experiment orchestration. -
3
Alphafold
Open source code for AlphaFold
...This is a completely new model that was entered in CASP14 and published in Nature. For simplicity, we refer to this model as AlphaFold throughout the rest of this document. Any publication that discloses findings arising from using this source code or the model parameters should cite the AlphaFold paper. Please also refer to the Supplementary Information for a detailed description of the method. You can use a slightly simplified version of AlphaFold with this Colab notebook or community-supported versions. The total download size for the full databases is around 415 GB and the total size when unzipped is 2.2 TB. ... -
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Configuration Backup (ConfiBack)
Project for backing up network device configuration
Using this project you can make backup and track changes of configuration of network devices like switches, routers, etc. -
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5
Bot on Anything
Large model-based chatbot builder that can quickly integrate AI models
...Configuration is handled simply through a central JSON file where you define which model and which application channel you want to glue together, so developers can create sophisticated AI assistants without rewriting integration code from scratch. The architecture emphasizes reusability and extensibility, allowing the addition of new model backends or new channels with relative ease. It supports switching between multiple AI models and targets within the same project. -
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Img2Txt
Img2Txt - Extract Text From Images using AI
Important: If you are sharing this program. Please Include the official Download Link What is Img2Txt? Img2Txt is a Python-based application packaged using PyInstaller that utilizes the power of pytesseract, an AI-powered optical character recognition (OCR) library, to extract text from images and convert it into plain text. The application features a simple and modern user-friendly interface created using customtkinter, allowing users to easily process images and obtain the text... -
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artikelschreiber
Frontend and Backend Code for ArtikelSchreiber.com and UNAIQUE.NET
...All rights reserved. Frontend and Backend Source Code for Project: https://github.com/sebastianenger1981/ https://www.artikelschreiber.com/ https://www.artikelschreiben.com/ https://www.unaique.net/ https://www.artikelschreiber.com/opensource/ https://www.unaique.com/ -
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LLaMA INT8
Quantized inference code for LLaMA models
LLaMA INT8 is an experimental fork of Meta’s original LLaMA code for running large models with reduced memory through 8-bit quantization. It relies heavily on bitsandbytes and the LLM.int8() technique for compressed inference. The implementation quantizes weights on the host and loads them incrementally to avoid large memory spikes. Parallelism constructs from the original code were removed to simplify single-machine execution. -
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Orchest
Build data pipelines, the easy way
Code, run and monitor your data pipelines all from your browser! From idea to scheduled pipeline in hours, not days. Interactively build your data science pipelines in our visual pipeline editor. Versioned as a JSON file. Run scripts or Jupyter notebooks as steps in a pipeline. Python, R, Julia, JavaScript, and Bash are supported. Parameterize your pipelines and run them periodically on a cron schedule. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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XiaomiFirmwareUpdater
Provides you with firmware packages for all Xiaomi devices (Backup)
...Website: https://xiaomifirmwareupdater.com/ Supported Devices: https://xiaomifirmwareupdater.com/supported/firmware/ XDA Support Thread: https://forum.xda-developers.com/android/software-hacking/devices-xiaomi-firmware-updater-t3741446 Source code: https://github.com/XiaomiFirmwareUpdater/ Telegram Channel: https://t.me/XiaomiFirmwareUpdater -
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NOW
No-code tool for creating a neural search solution in minutes
One line to host them all. Bootstrap your multimodal search case in minutes. NOW gives the world access to multimodal neural search with just one command. NOW supports various formats for uploading your dataset to your search application. You may either choose a demo dataset hosted by NOW, or use your own custom dataset, to build an application. NOW can support your custom data in the form of a DocumentArray, as a path to a local folder, or S3 bucket. You can choose a demo dataset to get... -
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AWS Jupyter Proxy
Jupyter server extension to proxy requests with AWS SigV4 authentican
...A single /awsproxy endpoint is added on the Jupyter server which receives incoming requests from the browser, uses the credentials on the server to add SigV4 authentication to the request, and then proxies the request to the actual AWS service endpoint. All requests are proxied back-and-forth as-is, e.g., a 4xx status code from the AWS service will be relayed back as-is to the browser. Using this requries no additional dependencies in the client-side code. Just use the regular AWS JavaScript/TypeScript SDK methods and add any dummy credentials and change the endpoint to the /awsproxy endpoint. -
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Alpa
Training and serving large-scale neural networks
...Scaling neural networks to hundreds of billions of parameters has enabled dramatic breakthroughs such as GPT-3, but training and serving these large-scale neural networks require complicated distributed system techniques. Alpa aims to automate large-scale distributed training and serving with just a few lines of code. -
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ConvertText
ConvertText lets anyone change the case of your text easily.
ConvertText is a very handy text tool where you can change between cases like Uppercase, Title Case, Random Case, Reverse Text, Backwards Text, Phonetic Alphabet and 1337 (Leet Speak). -
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vim-jukit
Jupyter-Notebook inspired Neovim/Vim Plugin
REPL plugin and Jupyter-Notebook alternative for (Neo)Vim. This plugin is aimed at users in search for a REPL plugin with lots of additional features. -
16
DocSync
It is a tool that accepts Google Docs Links and checks any changes
Given sender e-mail and password (used to help access the Google Doc), recipient email and password (helps send the e-mail), and docs link, this product will allow you to receive updates based on changes done on the document. Source code is posted in the GitHub! Note that the program is only for Windows platforms. More platforms coming soon! GitHub: https://github.com/joalen/DocSync/ -
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FFCV
Fast Forward Computer Vision (and other ML workloads!)
ffcv is a drop-in data loading system that dramatically increases data throughput in model training. From gridding to benchmarking to fast research iteration, there are many reasons to want faster model training. Below we present premade codebases for training on ImageNet and CIFAR, including both (a) extensible codebases and (b) numerous premade training configurations. -
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FuzzBench
FuzzBench - Fuzzer benchmarking as a service
...FuzzBench integrates with the OSS-Fuzz infrastructure, allowing it to run experiments on authentic open source projects and collect meaningful data on crash discovery rates, code coverage, and bug-finding efficiency. The service includes an easy-to-use API for integrating custom fuzzers and an automated reporting system that generates detailed statistical analyses, comparative graphs, and significance testing. By running experiments at Google scale, FuzzBench ensures consistent, unbiased, and data-driven evaluations that support academic and industrial fuzzing research. -
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Tkinter Designer
An easy and fast way to create a Python GUI
Tkinter-Designer is a tool that allows developers to generate Python GUI code using Tkinter directly from Figma designs. By leveraging Figma’s design export capabilities, the tool parses the layout and transforms it into a working Tkinter interface. This helps streamline UI development by bridging the gap between design and code, making it accessible for developers and designers alike. -
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Debreate - Debian Package Builder
A utility for creating Debian packages (.deb)
Debreate is a utility to aid in creating Debian (.deb) packages. Currently it only supports binary packaging (note that the term "binary package" is used loosely, as such packages can contain scripts & non-code items such as media images, audio, & more) for personal distribution. Plans for using backends such as dh_make & debuild for creating source packages are in the works. But source packaging can be quite different & is a must if you want to get your packages into a distribution's official repositories or a Launchpad Personal Package Archive (PPA). ... -
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nanogpt-lecture
Code created in the Neural Networks: Zero To Hero video lecture
nanogpt-lecture contains the code developed during the nanoGPT installment of Andrej Karpathy's Neural Networks: Zero to Hero lecture series. It is designed to accompany the video so students can inspect, modify, and rerun the implementation themselves. The repository begins with a simple character-level bigram language model and develops toward a GPT-style transformer. -
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The Art of Programming
A collection of practical tips can be found at the bottom of this page
The Art of Programming (Second Edition) is a curated collection of programming problems and solutions originally derived from the Microsoft 100 Interview Questions blog series, later refined into a long-running tutorial and ultimately a published book. Created by July, the series began in 2010 and has since evolved into an in-depth exploration of algorithmic thinking, data structures, and coding interview preparation. The repository brings together 42 classic programming problems from the... -
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Neomake
Asynchronous linting and make framework for Neovim/Vim
...Because it uses job control and timers, it scales well on large codebases and keeps the editor responsive. It’s useful both as a general “make” front end and as a diagnostic engine for code quality. Async execution of linters, compilers, and test commands via “makers”. Teams often adopt it to standardize checks across languages while keeping developers inside Vim. -
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ConvNeXt V2
Code release for ConvNeXt V2 model
...The result is a convnet that competes strongly with transformer architectures on recognition benchmarks while being efficient and hardware-friendly. The repository provides official PyTorch implementations for multiple model sizes (Atto, Femto, Pico, up through Huge), conversion from JAX weights, code for pretraining/fine-tuning, and pretrained checkpoints. It supports both self-supervised pretraining and supervised fine-tuning. -
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Scrapyd
A service daemon to run Scrapy spiders
Scrapyd can manage multiple projects and each project can have multiple versions uploaded, but only the latest one will be used for launching new spiders. A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. For example: r23. The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an application (typically run as a daemon) that listens to requests for spiders to run and spawns a process for each one. Scrapyd also runs multiple processes in parallel, allocating them in a fixed number of slots given by the max_proc and max_proc_per_cpu options, starting as many processes as possible to handle the load.
