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Kiln-AI/Kiln

Build, Evaluate, and Optimize AI Systems

4.7K
Active
Python
AI Editors/Agents/Copilot
#AI#chain-of-thought#collaboration

grobidOrg/grobid

ML library for extracting metadata & text from PDFs using CRF & deep learning

4.7K
Active
Java
Computer Vision
ML Ops
Java
#pdf-extraction#machine-learning#deep-learning

dotnet/machinelearning-samples

An open source machine learning framework for .NET, providing samples and tools for building AI-powered applications.

4.7K
Archived
PowerShell
ML Ops
API Frameworks
#machine-learning#dotnet#csharp

makcedward/nlpaug

A data augmentation library for natural language processing (NLP) tasks, enabling developers to improve model performance.

4.6K
Archived
Jupyter Notebook
Computer Vision
ML Ops
Python
#natural-language-processing#data-augmentation#computer-vision

huggingface/text-embeddings-inference

A blazing fast inference solution for text embeddings models built with Rust.

4.6K
Active
Rust
LLM Frameworks
Inference
#embeddings#inference#text-processing

chiphuyen/ml-interviews-book

A book that provides a comprehensive guide to preparing for machine learning interviews.

4.5K
Experimental
HTML
Books & Guides
#machine-learning#interviews#preparation

boyu-ai/Hands-on-RL

Hands-on guide for reinforcement learning, a key technique in AI and ML-powered coding tools.

4.5K
Archived
Jupyter Notebook
LLM Frameworks
Tutorials & Courses
Jupyter Notebook
#reinforcement-learning#ai-ml#jupyter-notebook

mahseema/awesome-ai-tools

A curated list of top AI tools and frameworks for developers building with AI technologies.

4.5K
Stable
LLM Frameworks
Agents & Orchestration
React
#ai-tools#awesome-list#machine-learning

ashishps1/learn-ai-engineering

A free resource to learn AI and Large Language Models from scratch for developers.

4.5K
Stable
LLM Frameworks
Tutorials & Courses
React
#ai#llm#machine-learning

tensorflow/probability

Probabilistic reasoning and statistical analysis tools built on TensorFlow for data scientists and ML researchers.

4.4K
Active
Jupyter Notebook
ML Ops
Databases
TensorFlow
#bayesian-methods#deep-learning#machine-learning

amazon-archives/amazon-dsstne

An open-source deep learning library developed by Amazon for building scalable machine learning models.

4.4K
Archived
C++
LLM Frameworks
API Frameworks
#deep-learning#machine-learning#tensor-network

Azure/MachineLearningNotebooks

A collection of Python notebooks with machine learning and deep learning examples using the Azure ML SDK.

4.4K
Experimental
Jupyter Notebook
ML Ops
API Frameworks
Azure
#azure#machine-learning#deep-learning

KalyanM45/AI-Project-Gallery

A collection of AI-powered projects, including machine learning, deep learning, and generative AI, for developers.

4.3K
Active
LLM Frameworks
Computer Vision
React
#ai-projects#machine-learning#deep-learning

decodingai-magazine/llm-twin-course

An open-source course to build a production-ready LLM & RAG system using best practices in LLMOps

4.3K
Experimental
Python
LLM Frameworks
MLOps
AWS
#llm#rag#mlops

openxla/xla

A machine learning compiler for GPUs, CPUs, and ML accelerators, useful for building AI-powered applications.

4.0K
Active
C++
ML Ops
API Frameworks
#machine-learning#compiler#gpu

yonggekkk/argosbx

A one-key script for building a proxy server with ArgoSBX, supporting multiple protocols and environments.

4.0K
Active
Shell
React
#proxy-server#argosbx#one-key-script

FedML-AI/FedML

A unified and scalable ML library for large-scale distributed training, model serving, and federated learning.

4.0K
Stable
Python
ML Ops
Inference
React
#ai#machine-learning#federated-learning

zvtvz/zvt

A modular quantitative trading framework for algorithmic trading, backtesting, and financial analysis.

4.0K
Active
Python
Databases
API Frameworks
Python
#algorithmic-trading#backtesting#quantitative-trading

jphall663/awesome-machine-learning-interpretability

A curated list of responsible machine learning resources for interpretable AI development.

4.0K
Active
Interpretable AI
Caching
Python
#ai-safety#explainable-ml#fairness

deepchecks/deepchecks

Deepchecks is an open-source solution for thorough testing of ML models and data from research to production.

4.0K
Stable
Python
ML Ops
Data Validation
Python
#machine-learning#data-validation#model-monitoring
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