deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem...
Best Practices, code samples, and documentation for Computer Vision.
End-to-End Speech Processing Toolkit
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestratio...
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
A PyTorch implementation of the Transformer model in "Attention is All You Need".
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Deep learning library featuring a higher-level API for TensorFlow.
A collection of pre-trained, state-of-the-art models in the ONNX format
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Containers for machine learning
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Running large language models on a single GPU for throughput-oriented scenarios.
A python library for user-friendly forecasting and anomaly detection on time series.
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to...
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
AutoML library for deep learning
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
so-vits-svc fork with realtime support, improved interface and more features.
TensorFlow Tutorials with YouTube Videos
Keras implementations of Generative Adversarial Networks.
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
Deep universal probabilistic programming with Python and PyTorch
Learning Convolutional Neural Networks with Interactive Visualization.
ModelScope: bring the notion of Model-as-a-Service to life.
A collection of machine learning examples and tutorials.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Effortless data labeling with AI support from Segment Anything and other awesome models.
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
视频硬字幕提取，生成srt文件。无需申请第三方API，本地实现文本识别。基于深度学习的视频字幕提取框架，包含字幕区域检测、字幕内容提取。A GUI tool for extra...
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Lab Materials for MIT 6.S191: Introduction to Deep Learning
TensorFlow tutorials and best practices.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Caffe2 is a lightweight, modular, and scalable deep learning framework.
A collection of libraries to optimise AI model performances
Trax — Deep Learning with Clear Code and Speed
BoxMOT: Pluggable SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes
AI Toolkit for Healthcare Imaging
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM