Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
:earth_americas: machine learning tutorials (mainly in Python3)
:fire: Machine Learning Notebooks
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Semantic Segmentation Architectures Implemented in PyTorch
校招、秋招、春招、实习好项目!带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performan...
Create Anime Characters with MakeGirlsMoe
Probably the best curated list of data science software in Python.
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Accelerated deep learning R&D
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruc...
免费学代码系列:小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
Awesome work on hand pose estimation/tracking
Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Le...
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
A library for audio and music analysis, feature extraction.
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada an...
ResNeSt: Split-Attention Networks
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource...
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
JAX-based neural network library
ONNX-TensorRT: TensorRT backend for ONNX
Carefully curated resource links for data science in one place
Training and serving large-scale neural networks with auto parallelization.
:satellite: Organized Resources for Deep Learning Researchers and Developers
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Siamese and triplet networks with online pair/triplet mining in PyTorch
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantu...
Deep Learning (Python, C, C++, Java, Scala, Go)
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and dist...
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These...
OpenMMLab Model Deployment Framework
Represent, send, store and search multimodal data
Machine learning glossary
TensorFlow (Python API) implementation of Neural Style
Collection of AWESOME vision-language models for vision tasks
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
📚 Jupyter notebook tutorials for OpenVINO™
Isolate vocals, drums, bass, and other instrumental stems from any song
Run AI models end-to-end encrypted.
A comprehensive collection of recent papers on graph deep learning