deep-learning
Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Repositories (1429)
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...
min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch
:earth_americas: machine learning tutorials (mainly in Python3)
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...
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activi...
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image...
Debugging, monitoring and visualization for Python Machine Learning and Data Science
An unnecessarily tiny implementation of GPT-2 in NumPy.
The next generation deep reinforcement learning tookit
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Fast and flexible AutoML with learning guarantees.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
邱锡鹏《神经网络与深度学习：案例与实践》PyTorch 实现
:fire: Machine Learning Notebooks
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruc...
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantu...
Create Anime Characters with MakeGirlsMoe
Semantic Segmentation Architectures Implemented in PyTorch
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Awesome work on hand pose estimation/tracking
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
Accelerated deep learning R&D
A library for audio and music analysis, feature extraction.
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
GeoAI: Artificial Intelligence for Geospatial Data
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in...
JAX-based neural network library
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.
ONNX-TensorRT: TensorRT backend for ONNX
Carefully curated resource links for data science in one place
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
📚 Jupyter notebook tutorials for OpenVINO™
Open source neural network chess engine with GPU acceleration and broad hardware support.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These...
:satellite: Organized Resources for Deep Learning Researchers and Developers
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
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.
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and dist...
Training and serving large-scale neural networks with auto parallelization.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Deep Learning (Python, C, C++, Java, Scala, Go)
Siamese and triplet networks with online pair/triplet mining in PyTorch
Run AI models end-to-end encrypted.
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.