AI & Machine Learning
LLMs, agents, RAG, computer vision, and ML frameworks
Subcategories
Showing 6481-6500 of 7,695 projects
DaveSkender/Stock.Indicators
A C# NuGet package that provides technical indicators and trading insights for financial market data analysis.
whai362/PSENet
Official PyTorch implementation of the PSENet text detection algorithm for computer vision tasks.
Calamari-OCR/calamari
Calamari-OCR/calamari is a line-based ATR engine based on OCRopy, written in Python.
Scale3-Labs/langtrace
An open-source, end-to-end observability tool for LLM applications with real-time tracing, evaluations and metrics.
TheThreeDog/Auto-Lianliankan
Python-based automation tool for the Lian Lian Kan game, allowing users to quickly complete the game.
steven-tey/chathn
A TypeScript project that allows you to chat with Hacker News using natural language, built with OpenAI Functions and Vercel AI SDK.
TrafficGuard/typedai
TypeScript AI platform with AI chat, Autonomous agents, Software developer agents, and more.
roatienza/Deep-Learning-Experiments
A collection of deep learning experiments and tutorials to help developers understand and apply deep learning techniques.
PyRetri/PyRetri
An open-source deep learning based image retrieval toolbox built on PyTorch for AI and ML developers.
hasktorch/hasktorch
Hasktorch provides a Haskell API for tensors and neural networks, enabling developers to build AI applications in a functional programming language.
tiny-tpu-v2/tiny-tpu
A minimal tensor processing unit (TPU) for AI and machine learning workloads, inspired by Google's TPU V2 and V1.
pytorch/extension-cpp
C++ extensions for PyTorch, a popular machine learning library.
jaanli/variational-autoencoder
Variational autoencoder implementation in TensorFlow and PyTorch, including inverse autoregressive flow.
qpython-android/qpython
QPython is an Android Python engine focused on Python and AI learning with a range of features.
SleepyBag/Statistical-Learning-Methods
A Python library that implements statistical learning methods from the book 'Statistical Learning Methods' by Li Hang.
AI4Finance-Foundation/FinRL-Tutorials
FinRL Tutorials - a collection of Jupyter Notebooks for financial reinforcement learning.
kavgan/nlp-in-practice
Starter code for solving real-world text data problems using NLP techniques like Gensim Word2Vec and text classification.
UMass-Embodied-AGI/3D-LLM
A Python library that injects 3D world knowledge into large language models for improved AI understanding.
facebookarchive/C3D
C3D is a modified version of BVLC caffe to support 3D ConvNets for computer vision applications.
VoltaML/voltaML
A lightweight library to convert and run ML/DL models in high-performance inference runtimes like TensorRT, TorchScript, ONNX, and TVM.
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