deep-learning

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Debugging, monitoring and visualization for Python Machine Learning and Data Science

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

邱锡鹏《神经网络与深度学习：案例与实践》PyTorch 实现

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

:fire: Machine Learning Notebooks

Learn how to design, develop, deploy and iterate on production-grade ML applications.

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

Awesome work on hand pose estimation/tracking

Accelerated deep learning R&D

A library for audio and music analysis, feature extraction.

GeoAI: Artificial Intelligence for Geospatial Data

JAX-based neural network library

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Build a modern LLM from scratch. Every line commented. Explained like we are five.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

ONNX-TensorRT: TensorRT backend for ONNX

Carefully curated resource links for data science in one place

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

📚 Jupyter notebook tutorials for OpenVINO™

Open source neural network chess engine with GPU acceleration and broad hardware support.

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

Run AI models end-to-end encrypted.

Isolate vocals, drums, bass, and other instrumental stems from any song