Search Results for "checkpoint"
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Showing 69 open source projects for "checkpoint"
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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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Megatron-LM
Ongoing research training transformer models at scale
...The framework includes mixed-precision training options such as FP16, BF16, FP8, and FP4 to maximize performance and memory efficiency on modern hardware. Megatron-LM is widely used in research and industry for pretraining GPT-, BERT-, T5-, and multimodal-style models, with tooling for checkpoint conversion and interoperability with Hugging Face. Overall, it is a production-grade system for organizations pushing the limits of large-scale language model training. -
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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. ... -
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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... -
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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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opcode
A powerful GUI app and Toolkit for Claude Code
opcode is an open source desktop application and toolkit designed to enhance the developer experience when working with Claude Code by providing a graphical interface and advanced workflow management tools. The project acts as a command center for AI-assisted programming, bridging the gap between command-line workflows and modern visual development environments. Built using the Tauri framework, Opcode enables developers to manage multiple Claude sessions, create custom agents, and track... -
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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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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... -
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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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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Scrapling
An adaptive Web Scraping framework
Scrapling is an adaptive web scraping framework designed to handle everything from a single HTTP request to large-scale, concurrent crawls. Built for modern websites, it intelligently adapts to structural changes by automatically relocating elements when page layouts update. The framework includes advanced fetchers capable of bypassing anti-bot protections such as Cloudflare Turnstile using stealth and browser automation techniques. Its powerful spider system supports multi-session crawling,... -
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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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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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Extended Dreambooth How-To Guides
Implementation of Dreambooth
Extended Dreambooth How-To Guides is an implementation and extended toolkit for fine-tuning Stable Diffusion models using the DreamBooth technique, enabling users to train AI image generators to reproduce specific subjects, styles, or identities from a small set of reference images. The project adapts and expands upon earlier DreamBooth research by providing practical scripts, notebooks, and workflows that allow users to train personalized models on local machines, cloud environments, or... -
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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... -
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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 -
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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. -
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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. ...
