deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1427)
On-device AI across mobile, embedded and edge for PyTorch
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
An Engine-Agnostic Deep Learning Framework in Java
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, S...
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
【干货】史上最全的PyTorch学习资源汇总
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Relax! Flux is the ML library that doesn't make you tensor
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
LightGlue: Local Feature Matching at Light Speed (ICCV 2023)
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Curated list of Python resources for data science.
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguishe...
:satellite: All You Need to Know About Deep Learning - A kick-starter
Fast inference engine for Transformer models
🤗 AutoTrain Advanced
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70...
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and...
《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣
Curated tutorials and resources for Large Language Models, AI Painting, and more.
Noise supression using deep filtering
Lightning fast C++/CUDA neural network framework
A unified, comprehensive and efficient recommendation library
[ICCV 2019] Monocular depth estimation from a single image
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
LLM training code for Databricks foundation models
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
Probabilistic reasoning and statistical analysis in TensorFlow
A curated list of reinforcement learning with human feedback resources (continually updated)
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
Papers on Computational Advertising
A curated list of awesome data labeling tools
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Simplify your onnx model