Showing 81-100 of 1,001 projects
Ivy is a Python library that simplifies converting machine learning code between frameworks like PyTorch, TensorFlow, and JAX.
An implementation of the YOLOv7 state-of-the-art real-time object detection model.
Open source implementation of CLIP, a contrastive learning model for multi-modal tasks like zero-shot classification.
Open3D is a modern C++ library for 3D data processing, including reconstruction, registration, and visualization.
An open-source implementation of the LoRA (Low-Rank Adaptation) technique for fine-tuning large language models.
An open-source deep learning book based on TensorFlow 2.0, providing hands-on examples for vibe coders.
TensorRT LLM provides a Python API and optimizations to efficiently run large language models on NVIDIA GPUs.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
Reliable PyTorch implementations of reinforcement learning algorithms for AI and robotics applications.
Scalable embedding, reasoning, ranking for images and sentences with CLIP
This is a free 4-month course to learn machine learning engineering, covering deployment, Docker, FastAPI, and more.
Comprehensive learning roadmap for AI & machine learning, with 200+ practical cases and projects for beginners to experts.
Advanced AI Explainability library for computer vision models built with PyTorch.
A curated list of tutorials, papers, and projects related to the PyTorch deep learning library.
PyTorch code and models for the DINOv2 self-supervised learning method, a useful tool for AI and ML developers.
A lightweight Chinese OCR library that supports vertical text recognition and NCNN/MNN/TNN inference with a small model size.
A PyTorch library that implements various attention mechanisms and other neural network components for visual tasks.
A powerful Python library for working with large language models (LLMs) and natural language processing tasks.
An open-source NLP research library built on PyTorch for advanced natural language processing tasks.
Low-code framework for building custom LLMs, neural networks, and other AI models
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