deep-learning

Machine Learning and Agentic AI Resources, Practice and Research

The 3rd edition of course.fast.ai

Torchreid: Deep learning person re-identification in PyTorch.

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

An Open-Source Framework for Prompt-Learning.

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

An Engine-Agnostic Deep Learning Framework in Java

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）

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

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Relax! Flux is the ML library that doesn't make you tensor

LightGlue: Local Feature Matching at Light Speed (ICCV 2023)

Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Curated list of Python resources for data science.

Fast inference engine for Transformer models

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

Noise supression using deep filtering

🤗 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 semantic map segmentation.

《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣