fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测
- fire-detection
- smoke-detection
- fire-smoke-detection-dataset
- yolov4
Repository Index
89,073 visible repositories in the index
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Efficient Python Tricks and Tools for Data Scientists
- python
- data-science
- python3
Collection of useful notebooks and snippets
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
- data-science
- portfolio
- python
- pandas
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM
Collection of step-by-step playbooks for setting up AI/ML workloads on NVIDIA DGX Spark devices with Blackwell architecture.
Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris
Differentiable, Hardware Accelerated, Molecular Dynamics
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
- pytorch
- knowledge-distillation
- attention
- deep-learning
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
- data-science
- ai
- models
- marketing
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. This is the companion repository for the book on generative AI with LangChain.
[CVPR 2025 Highlight] GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control
- 3d-graphics
- camera-control
- video-diffusion-model
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
- log-analysis
- anomaly-detection
- failure-diagnosis
- machine-learning
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
- adversarial-examples
- paddlepaddle
- machine-learning
- security
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
- aerodynamics
- airplane
- cfd
- mdo
Attention based model for learning to solve different routing problems
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
- deep-learning
- numerical-simulations
- pde-solvers
- artificial-intelligence
:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
- algorithms
- python
- javascript
- algorithms-and-data-structures
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
- reinforcement-learning
- soft-actor-critic
- state-of-the-art
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- convolutional-neural-networks
- deep-learning
- graphs
- graph-signal-processing
A Toolbox for Adversarial Robustness Research
- pytorch
- adversarial-examples
- adversarial-example
- adversarial-perturbations
A collection of work related to COVID-19
Experiments with Deep Learning