Statistics for topic training
RepositoryStats tracks 595,858 Github repositories, of these 217 are tagged with the training topic. The most common primary language for repositories using this topic is Python (58). Other languages include: Jupyter Notebook (19), HTML (17), JavaScript (11)
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This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artif...
OneTrainer is a one-stop solution for all your stable diffusion training needs.
PyTorch native quantization and sparsity for training and inference
This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.
:octocat: Вопросы и ответы для собеседования Back-end/Golang разработчика и не только
A curated list of awesome Android Reverse Engineering training, resources, and tools.
OneTrainer is a one-stop solution for all your stable diffusion training needs.
PyTorch native quantization and sparsity for training and inference
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artif...
PyTorch native quantization and sparsity for training and inference
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.
Code samples and resources to learn Generative AI with JavaScript
PyTorch native quantization and sparsity for training and inference
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artif...
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
PyTorch native quantization and sparsity for training and inference
OneTrainer is a one-stop solution for all your stable diffusion training needs.
AttackMate is an attack orchestration tool that executes full attack-chains based on playbooks.
Code samples and resources to learn Generative AI with JavaScript
This project introduces PySpark, a powerful open-source framework for distributed data processing. We explore its architecture, components, and applications for real-time data analysis.
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
An analytical challenge created to test junior analysts looking to try performing proactive and reactive cyber threat intelligence.
Code samples and resources to learn Generative AI with JavaScript
Guide on text completion large language model fine-tuning, including example scripts and training data acquiring.
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artif...
PyTorch native quantization and sparsity for training and inference
MiniOB is a compact database that assists developers in understanding the fundamental workings of a database.
PyTorch native quantization and sparsity for training and inference
Guide on text completion large language model fine-tuning, including example scripts and training data acquiring.
A curated list of software development resources.
Obsidian Templates for OSCP, CPTS, and Training labs
This project introduces PySpark, a powerful open-source framework for distributed data processing. We explore its architecture, components, and applications for real-time data analysis.