AI & Machine Learning
LLMs, agents, RAG, computer vision, and ML frameworks
Subcategories
Showing 6021-6040 of 7,695 projects
tensorflow/model-analysis
This is a set of model analysis tools for TensorFlow, enabling developers to evaluate and optimize their machine learning models.
ray-project/ray-llm
RayLLM is a framework for serving large language models (LLMs) on the Ray distributed computing platform.
AtheMathmo/rusty-machine
A machine learning library for the Rust programming language.
ConardLi/easy-llm-cli
An open-source AI agent that is compatible with multiple LLM models, allowing developers to easily build AI-powered applications.
HendrikStrobelt/LSTMVis
A visualization toolbox for LSTM neural networks, useful for developers working with AI/ML models.
hollance/Forge
Forge is a neural network toolkit for Metal, enabling efficient deep learning on iOS devices.
sdkcarlos/artyom.js
A JavaScript library for building voice-controlled web applications using speech recognition and synthesis.
amaiya/ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
BICLab/SpikingBrain-7B
Spiking Brain-inspired Large Models with efficient attention, MoE, and spike encoding for AI and ML developers.
Storia-AI/sage
A Python-based library that enables developers to chat with any codebase, powered by AI language models.
salesforce/pytorch-qrnn
A PyTorch implementation of the Quasi-Recurrent Neural Network, up to 16x faster than cuDNN LSTM.
MilaNLProc/contextualized-topic-models
A Python package to run contextualized topic modeling, combining BERT embeddings and topic models.
reiinakano/xcessiv
A Python library for automated hyperparameter tuning and ensemble learning using scikit-learn.
christophschuhmann/improved-aesthetic-predictor
A Python library that uses CLIP and MLP to predict the aesthetic score of images, useful for vibe coders.
pfnet/pfrl
A PyTorch-based deep reinforcement learning library for developing AI agents and algorithms.
TheEconomist/us-potus-model
This is a dynamic multilevel Bayesian model for predicting US presidential elections, written in R and Stan.
machinalis/quepy
A Python framework to transform natural language questions into database query language.
hnmr293/sd-webui-cutoff
A Python-based tool that allows customizing the 'cutoff' effect in Stable Diffusion, a popular AI-powered image generation model.
KalyanKS-NLP/rag-zero-to-hero-guide
Comprehensive guide to learn Retrieval Augmented Generation (RAG) from basics to advanced.
yahoo/CaffeOnSpark
Distributed deep learning on Hadoop and Spark clusters for vibe coders.
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