Search Results for "checkpoint"
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Showing 65 open source projects for "checkpoint"
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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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Find Hidden Risks in Windows Task SchedulerWindows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
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1
Simple StyleGan2 for Pytorch
Simplest working implementation of Stylegan2
...By default, if the training gets cut off, it will automatically resume from the last checkpointed file. Once you have finished training, you can generate images from your latest checkpoint. If a previous checkpoint contained a better generator, (which often happens as generators start degrading towards the end of training), you can load from a previous checkpoint with another flag. A technique used in both StyleGAN and BigGAN is truncating the latent values so that their values fall close to the mean. The small the truncation value, the better the samples will appear at the cost of sample variety. -
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PKHeX
Pokémon Save File Editor
...Pokémon Showdown sets and QR codes can be imported/exported to assist in sharing. PKHeX expects to save files that are not encrypted with console-specific keys. Use a save data manager to import and export save data from the console (Checkpoint, save_manager, JKSM, or SaveDataFiler). We do not support or condone cheating at the expense of others. Do not use significantly hacked Pokémon in battle or in trades with those who are unaware hacked Pokémon are in use. PKHeX is a Windows Forms application that requires .NET Framework v4.6, with experimental support for .NET 6.0. ... -
3
Transparent Background
This is a background removing tool powered by InSPyReNet
...We basically follow the virtual camera settings from pyvirtualcam. If you do not choose to install virtual camera, it will visualize real-time output with cv2.imshow. Use another checkpoint file. Default is trained with composite dataset and will be automatically downloaded if not available. -
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AUTOMATIC1111 Stable Diffusion web UI
Stable Diffusion web UI
AUTOMATIC1111's stable-diffusion-webui is a powerful, user-friendly web interface built on the Gradio library that allows users to easily interact with Stable Diffusion models for AI-powered image generation. Supporting both text-to-image (txt2img) and image-to-image (img2img) generation, this open-source UI offers a rich feature set including inpainting, outpainting, attention control, and multiple advanced upscaling options. With a flexible installation process across Windows, Linux, and... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Gemma in PyTorch
The official PyTorch implementation of Google's Gemma models
gemma_pytorch provides the official PyTorch reference for running and fine-tuning Google’s Gemma family of open models. It includes model definitions, configuration files, and loading utilities for multiple parameter scales, enabling quick evaluation and downstream adaptation. The repository demonstrates text generation pipelines, tokenizer setup, quantization paths, and adapters for low-rank or parameter-efficient fine-tuning. Example notebooks walk through instruction tuning and evaluation... -
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Llama Recipes
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT method
The 'llama-recipes' repository is a companion to the Meta Llama models. We support the latest version, Llama 3.1, in this repository. The goal is to provide a scalable library for fine-tuning Meta Llama models, along with some example scripts and notebooks to quickly get started with using the models in a variety of use-cases, including fine-tuning for domain adaptation and building LLM-based applications with Llama and other tools in the LLM ecosystem. The examples here showcase how to run... -
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Coconut
Training Large Language Model to Reason in a Continuous Latent Space
Coconut is the official PyTorch implementation of the research paper “Training Large Language Models to Reason in a Continuous Latent Space.” The framework introduces a novel method for enhancing large language models (LLMs) with continuous latent reasoning steps, enabling them to generate and refine reasoning chains within a learned latent space rather than relying solely on discrete symbolic reasoning. It supports training across multiple reasoning paradigms—including standard... -
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Zypher Agent
A minimal yet powerful framework for creating AI agents
Zypher Agent is an open-source framework for building full-featured AI agents that can be embedded directly into applications, enabling reactive decision loops where the agent dynamically chooses its next actions. Unlike workflow-style orchestrators, it uses a reactive agent loop that interprets the task, reasons about next steps via LLMs, and integrates directly with extensible tools and external services. Zypher prioritizes native support for multiple model providers such as OpenAI and... -
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fvcore
Collection of common code shared among different research projects
fvcore is a lightweight utility library that factors out common performance-minded components used across Facebook/Meta computer-vision codebases. It provides numerics and loss layers (e.g., focal loss, smooth-L1, IoU/GIoU) implemented for speed and clarity, along with initialization helpers and normalization layers for building PyTorch models. Its common modules include timers, logging, checkpoints, registry patterns, and configuration helpers that reduce boilerplate in research code. A... -
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10
seaart-save-metadata
Chrome extention to save metadata of works on seart.ai in XMP in files
...Chrome extention to save metadata of works on seart.ai in XMP and embed them into files. Works on /explore/detail pages and /postDetail/ pages. Does NOT work to videos. Filenames are automatically sanitized. It saves: prompt, model, checkpoint, lora, creator, source, etc. of each work. Press a button to start fetching metadata and download a work on a target page. # Installation Unpack the release and directly load it into Chrome with "Load unpacked". -
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vits_chinese
Best practice TTS based on BERT and VITS
vits_chinese is an implementation of the VITS end-to-end text-to-speech (TTS) architecture tailored for Chinese (and possibly multilingual) speech synthesis. VITS is a model combining variational autoencoders (VAEs), normalizing flows, adversarial learning, and a stochastic duration predictor — a design that enables generation of natural, expressive speech, capturing variations in rhythm and prosody. By customizing or porting VITS for Chinese, this project aims to produce high-quality TTS... -
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OpenNMT-tf
Neural machine translation and sequence learning using TensorFlow
OpenNMT is an open-source ecosystem for neural machine translation and neural sequence learning. OpenNMT-tf is a general-purpose sequence learning toolkit using TensorFlow 2. While neural machine translation is the main target task, it has been designed to more generally support sequence-to-sequence mapping, sequence tagging, sequence classification, language modeling. Models are described with code to allow training custom architectures and overriding default behavior. For example, the... -
13
DBSHURI
DBSHURI DSR is a tool for quick fix oracle datafile.
...All rights reserved. Free for personal use; commercial users need a license. Usage: dsr [command] Available Commands: backuphdr backup datafile header ckpscn set checkpoint scn for datafile completion Generate the autocompletion script for the specified shell copy copy block copyany copyany block crsscn set creation scn for datafile crt set crt for a datafile csq set csq for a datafile cvn Set cvn damage1 damage a file damage2 damage a file dbi set dbid for datafile dbname set dbname for datafile dbv check a datafile edit edit ub4 datafile fill fill a datafile with size fitsize set fit size fno set fno for a datafile fsz set fsz for a datafile -
14
Alpaca.cpp
Locally run an Instruction-Tuned Chat-Style LLM
...Download the zip file corresponding to your operating system from the latest release. The weights are based on the published fine-tunes from alpaca-lora, converted back into a PyTorch checkpoint with a modified script and then quantized with llama.cpp the regular way. -
15
React For Beginners
Starter files for learning React.js with React for Beginners
React For Beginners serves as the official starter code bundle for the “React For Beginners” course by Wes Bos, designed to help developers follow along (or revisit later) with the hands-on app built in the video series. The code includes the base app (“Catch of the Day”) and the stepped solutions at each video stage, giving learners a way to either build up by themselves or reference the exact result when needed. Because the project uses modern React tooling (Webpack, create-react-app style... -
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Keepsake
Version control for machine learning
Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage. You can get the data back out using the command-line interface or a notebook. -
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Distributed MultiThreaded Checkpointing
Checkpoint/Restart functionality for Linux processes
...For the newest releases of DMTCP, please go to: https://github.com/dmtcp/dmtcp Among the applications supported by DMTCP are MPI (various implementations), OpenMP, MATLAB, Python, Perl, R, and many programming languages and shell scripting languages. With the use of TightVNC, it can also checkpoint and restart X-Window applications. The OpenGL library for 3D-graphics is supported through a special plugin. It also has strong support for HPC (High Performance Computing) environments, including MPI and SLURM, through the github MANA project: https://github.com/mpickpt/mana -
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GPT-2 FR
GPT-2 French demo | Démo française de GPT-2
...Create an environment then install the two packages pip install tensorflow==1.14 gpt-2-simple. A script and a notebook are available in the src folder to fine-tune GPT-2 on your own datasets. The output of each workout, i.e. the folder checkpoint/run1, is to be put ingpt2-model/model1 model2 model3 etc. You can run the script deploy_cloudrun.shto deploy all your different models (into gpt2-model) at once. However, you must have already initialized the gcloud CLI tool (Cloud SDK). -
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GOPA
GOPA, a spider written in Golang, for Elasticsearch
...Besides Elasticsearch, Gopa doesn't require any other dependencies, just simply run ./gopa to start the program. It's safety to press ctrl+c to stop the current running Gopa, Gopa will handle the rest, saving the checkpoint, you may restore the job later, but the world is still in your hand. -
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ChunJun
A data integration framework
ChunJun is a distributed integration framework, and currently is based on Apache Flink. It was initially known as FlinkX and renamed ChunJun on February 22, 2022. It can realize data synchronization and calculation between various heterogeneous data sources. ChunJun has been deployed and running stably in thousands of companies so far. Based on the real-time computing engine--Flink, and supports JSON template and SQL script configuration tasks. The SQL script is compatible with Flink SQL... -
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360-FAAR Firewall Analysis Audit Repair
360-FAAR Analyze FW1 Cisco Netscreen Policy Offline Using Config/Logs
360-FAAR (Firewall Analysis Audit and Repair) is an offline, command line, firewall policy manipulation tool to filter, compare to logs, merge, translate and output firewall commands for new policies, in Checkpoint dbedit, Cisco ASA or ScreenOS commands, and its one file! Read Policy and Logs for: Checkpoint FW1 (in odumper.csv / logexport format), Netscreen ScreenOS (in get config / syslog format), Cisco ASA (show run / syslog format), 360-FAAR compares firewall policies and uses CIDR and text filters to split rulebases / policies into target sections and identify connectivity for further analysis. 360-FAAR supports, policy to log association, object translation, rulebase reordering and simplification, rule moves and duplicate matching automatically. ... -
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FW1-Loggrabber is a command-line tool to grab logfiles from Checkpoint FW-1 remotely using Checkpoints LEA (Log Export Api), which is one part of Checkpoints OPSEC API.
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CYCLOPS simulations
Cell cycle simulations with anticancer drugs
CYCLOPS software is a mathematical model of the cell cycle that includes biological features common to neoplastic transformation. The main components are the cell cycle oscillator, including descriptions of the G1-S checkpoint and the spindle assembly checkpoint (SAC), the EGF signalling pathway and apoptosis. The sites of action of several anticancer drugs, both cytotoxic agents and targeted agents are incorporated.The code is written in C and can be simulated via commands through the DOS interface or incorporated within other codes and models. A publication reference will be provided in due time. -
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MineBatch 2.0
MineBatch 2.0, developed by ClxGames.
...MineBatch 2.0 is developed by ClxGames. It is developed using Notepad++ and hosted by GameJolt. It is developed on every day and sometimes the development will reach a certain checkpoint, the checkpoint will be released as a beta. If there is a small bug in the game, a patch will be released as soon as possible, if there is a small feature for the game then it will be released as a patch. More info online at the website. This is not a copy of ZombieKnifer223's MineBatch, this IS ZombieKnifer223! -
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orbkit (Moved to Github)
A Modular Python Toolbox for Cross-Platform Post-Processing of Quantum
PLEASE NOTE ORBKIT HAS BEEN MOVED TO https://github.com/orbkit/orbkit orbkit is a parallel Python program package for post-processing wave function data extracted from output files of MOLPRO (Molden File Format), TURBOMOLE (AOMix file format), GAMESS-US, PROAIMS/AIMPAC (wfn/wfx file format), and Gaussian (Output File and Formatted Checkpoint File) output files. Futhermore, an interface to cclib, a parser for quantum chemical logfiles, is provided. If you use orbkit in your work, please cite it as follows: Gunter Hermann, Vincent Pohl, Jean Christophe Tremblay, Beate Paulus, Hans-Christian Hege, and Axel Schild, "ORBKIT: A Modular Python Toolbox for Cross-Platform Postprocessing of Quantum Chemical Wavefunction Data", J. ...
