deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
LPIPS metric. pip install lpips
Foundational model for human-like, expressive TTS
ChatGPT资料汇总学习，持续更新......
Deep Learning GPU Training System
Implement a reasoning LLM in PyTorch from scratch, step by step
Single Shot MultiBox Detector in TensorFlow
An open-source framework for training large multimodal models.
An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extracti...
A library for scientific machine learning and physics-informed learning
🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）
Learning to Learn in TensorFlow
Noise supression using deep filtering
Model summary in PyTorch similar to `model.summary()` in Keras
Scalable and user friendly neural :brain: forecasting algorithms.
Visual localization made easy with hloc
3D ResNets for Action Recognition (CVPR 2018)
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud s...
人像卡通化探索项目 (photo-to-cartoon translation project)
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-...
Interactive Image Generation via Generative Adversarial Networks
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation need...
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which a...
Differentiable architecture search for convolutional and recurrent networks
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Ma...
oneAPI Deep Neural Network Library (oneDNN)
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Visual Tracking Paper List
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Vector (and Scalar) Quantization, in Pytorch
A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learni...
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for tim...
The Hugging Face course on Transformers
Facilitating the design, comparison and sharing of deep text matching models.
Awesome Knowledge Distillation
Compute FID scores with PyTorch.
OpenMMLab Pre-training Toolbox and Benchmark
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Tr...
ML-powered manga translator, written in Rust.
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】
Easiest and laziest way for building multi-agent LLMs applications.
Scenic: A Jax Library for Computer Vision Research and Beyond