Repository Index

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

• java
• gpu
• deeplearning
• neural-nets

Open3D: A Modern Library for 3D Data Processing

• mesh-processing
• computer-graphics
• opengl
• cpp

Convert Machine Learning Code Between Frameworks

• python
• tensorflow
• pytorch
• numpy

Open Machine Learning Compiler Framework

• compiler
• tensor
• deep-learning
• gpu

TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields

• machine-learning
• deep-learning
• data-analysis
• data-mining

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

• tensorrt
• nvidia
• deep-learning
• inference

TranslatedOpen source Deep Learning book, based on TensorFlow 2.0 framework.

• tensorflow
• tensorflow2
• deeplearning
• machinelearning

TranslatedMachine learning tutorials

• machine-learning
• neural-network
• tensorflow
• python

Play with neural networks!

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

• pytorch
• pytorch-tutorials
• pytorch-tutorials-cn
• deep-learning

NumPy & SciPy for GPU

• cuda
• cudnn
• cublas
• cusolver

TranslatedChinese version of the official documentation for Google's new open-source artificial intelligence system TensorFlow

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

• agent
• llm
• memory
• long-term-memory

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

• pytorch
• unet
• pytorch-unet
• semantic-segmentation

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

• machine-learning
• experiment-track
• deep-learning
• keras

StyleGAN2 - Official TensorFlow Implementation

TranslatedAn entry-level project for face, video, and text detection and recognition.

• dlib
• opencv
• tesseract-ocr
• keras

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

• style-transfer
• neural-style
• neural-networks
• deep-learning

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

• rl
• ml
• ai
• google

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

• bloom
• deep-learning
• distributed-systems
• language-models

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

• yolox
• yolov3
• onnx
• tensorrt

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

• yolov3
• object-detection
• yolo
• deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

• deep-learning
• mit
• self-driving-cars
• deep-reinforcement-learning

Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev