Showing 1621-1640 of 4,064 projects
This repository provides resources and implementations of Generative Adversarial Nets, a powerful machine learning technique.
High-performance machine learning package for Python and CLI interface
A TensorFlow-based implementation of Mask R-CNN, a popular deep learning object detection and instance segmentation model.
A Python library for human pose estimation, skeleton-based action recognition, and action synthesis.
PyTorch code and models for VJEPA2 self-supervised learning from video.
A tutorial project for learning Node.js, not specifically focused on AI coding tools or vibe coders.
A comprehensive interview prep resource for AIGC, LLM, and AI-related engineering roles.
A beginner-friendly tutorial for learning NixOS and Flakes, a powerful declarative system configuration management tool for Linux.
This GitHub repository contains code for reproducing large language model (LLM) related algorithms and learning materials.
Open-source tools for prompt testing and experimentation with LLMs and vector databases.
Open-source neural network chess engine with GPU acceleration and broad hardware support.
A high-performance I/O system for large deep learning problems with strong PyTorch support.
A toolkit for creating, sharing, and using natural language prompts for machine learning tasks.
A comprehensive Go statistics library with no dependencies for data analysis and machine learning.
A comprehensive guide for C++ backend developers, covering essential interview and learning topics.
A neural network visualization toolkit for the Keras deep learning framework.
Automatically updates bib entries with official information.
A scalable and easy-to-use TensorFlow library for Contextual Bandits and Reinforcement Learning.
A collection of deep learning and reinforcement learning research papers, codes, and resources.
Open content for self-directed learning in data science with interactive Jupyter Notebooks.
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