deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1412)
A flexible, high-performance serving system for machine learning models
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
TensorFlow documentation
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Hide screen when boss is approaching.
Setup and customize deep learning environment in seconds.
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Pytorch🍊🍉 is delicious, just eat it! 😋😋
YuE: Open Full-song Music Generation Foundation Model, something similar to Suno.ai but open
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
A list of popular github projects related to deep learning
High Performance Chinese License Plate Recognition Framework.
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
The Swift machine learning library.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences i...
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
header only, dependency-free deep learning framework in C++14
:alarm_clock: AI conference deadline countdowns
🧮 A collection of resources to learn mathematics for machine learning
Gluon CV Toolkit
A flexible framework of neural networks for deep learning
Gorgonia is a library that helps facilitate machine learning in Go.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
A concise but complete full-attention transformer with a set of promising experimental features from various papers
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple inte...
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
A Unified Toolkit for Deep Learning Based Document Image Analysis
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training...
Publication-ready NN-architecture schematics.
mlpack: a fast, header-only C++ machine learning library
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Curated list of data science interview questions and answers
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Play couplet with seq2seq model. 用深度学习对对联。
Supercharge Your Model Training
A C++ standalone library for machine learning
Build Graph Nets in Tensorflow
ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Learn AI and LLMs from scratch using free resources
Rust bindings for the C++ api of PyTorch.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope y...
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots