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sp00n/CoreCycler

A PowerShell script to test single core stability for AMD Ryzen and Intel processors, useful for overclocking and undervolting.

1.1K
Stable
PowerShell
CLI Tools
CLI Tools
#cpu#overclock#undervolting

Daninet/hash-wasm

A fast, WebAssembly-powered library for hash functions like Argon2, bcrypt, SHA, HMAC, and more.

1.1K
Archived
TypeScript
API Clients & Testing
Backend Frameworks
TypeScript
#hashing#security#cryptography

feiskyer/linux-perf-examples

A collection of Linux performance analysis examples from the Geek Time 'Linux Performance Optimization in Action' course.

1.1K
Archived
C
CLI Tools
Linux Distros
#linux#performance-analysis#performance-tuning

unit-mesh/unit-minions

This repository provides tools and models for training LoRA (Low-Rank Adaptation) for large language models like LLaMA and ChatGLM, enabling AI-powered code generation and assistance.

1.1K
Archived
Jupyter Notebook
LLM Frameworks
Fine-tuning
Jupyter Notebook
#llm#lora#code-generation

NovaSearch-Team/RAG-Retrieval

A unified framework for efficient fine-tuning and retrieval augmented generation (RAG) using LLMs.

1.1K
Experimental
Python
LLM Frameworks
API Frameworks
React
#llm#rag#retrieval

datadreamer-dev/DataDreamer

DataDreamer is a Python library for generating synthetic data, fine-tuning and aligning large language models.

1.1K
Experimental
Python
LLM Frameworks
Fine-tuning
PyTorch
#llms#gpt#instruction-tuning

Tencent/TencentPretrain

Tencent Pre-training framework in PyTorch with a pre-trained model zoo for NLP tasks

1.1K
Archived
Python
LLM Frameworks
API Frameworks
PyTorch
#natural-language-processing#pre-training#fine-tuning

Frix-x/klippain-shaketune

Streamlined input shaper workflow and calibration tools for the Klipper 3D printer firmware.

1.1K
Active
Python
CLI Tools
3D Printing
#accelerometer#axis#klippain

databricks/spark-sklearn

Deprecated Scikit-learn integration package for Apache Spark, useful for machine learning on big data.

1.1K
Archived
Python
ML Ops
Databases
#machine-learning#scikit-learn#apache-spark

curiousily/Deep-Learning-For-Hackers

A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.

1.1K
Archived
Jupyter Notebook
ML Ops
Computer Vision
TensorFlow
#deep-learning#anomaly-detection#time-series-forecasting

RL-VIG/LibFewShot

A comprehensive library for few-shot learning in Python with PyTorch, featuring state-of-the-art algorithms.

1.1K
Stable
Python
Fine-tuning
Meta-learning
PyTorch
#few-shot-learning#image-classification#meta-learning

thunlp/OpenDelta

A plug-and-play library for parameter-efficient-tuning (Delta Tuning) of pre-trained language models.

1.0K
Archived
Python
LLM Frameworks
Fine-tuning
Python
#deep-learning#nlp#parameter-efficient-learning

google/dreambooth

DreamBooth is a machine learning library for fine-tuning large language models to generate images of specific individuals.

1.0K
Archived
Fine-tuning
Computer Vision
PyTorch
#machine-learning#computer-vision#fine-tuning

beyondguo/LLM-Tuning

A library for efficiently fine-tuning large language models (LLMs) with a sample-based approach.

1.0K
Archived
HTML
LLM Frameworks
Fine-tuning
React
#large-language-model#fine-tuning#sample-based-design

PiotrNawrot/nanoT5

Fast and simple repository for pre-training and fine-tuning T5-style language models.

1.0K
Archived
Python
LLM Frameworks
Fine-tuning
PyTorch
#nlp#transformer#language-model
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