Dynmi / AlexNet
implement AlexNet with C / convolutional nerual network / machine learning / computer vision
☆183Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for AlexNet
- Highly optimized inference engine for Binarized Neural Networks☆243Updated 3 weeks ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆96Updated last year
- Simple Training and Deployment of Fast End-to-End Binary Networks☆159Updated 2 years ago
- Scailable ONNX python tools☆96Updated 3 weeks ago
- Fast sparse deep learning on CPUs☆51Updated 2 years ago
- Reference implementations of popular Binarized Neural Networks☆104Updated 3 weeks ago
- Lightweight C implementation of CNNs for Embedded Systems☆54Updated last year
- Serving PyTorch 1.0 Models as a Web Server in C++☆226Updated 4 years ago
- coding an autograd from scratch☆168Updated 5 years ago
- Minimal deep learning library written from scratch in Python, using NumPy/CuPy.☆120Updated 2 years ago
- Count number of parameters / MACs / FLOPS for ONNX models.☆89Updated 3 weeks ago
- Customized matrix multiplication kernels☆53Updated 2 years ago
- PDFs and Codelabs for the Efficient Deep Learning book.☆190Updated last year
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆317Updated last year
- Implementation of convolution layer in different flavors☆67Updated 7 years ago
- benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.☆203Updated 3 years ago
- Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow☆168Updated 4 years ago
- A recurrent (LSTM) neural network in C☆91Updated 2 years ago
- An Open Convolutional Neural Network Framework in C++ From Scratch☆59Updated 3 years ago
- Personal collection of references for high performance mixed precision training.☆41Updated 5 years ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆963Updated 2 months ago
- Low Precision Arithmetic Simulation in PyTorch☆265Updated 6 months ago
- Deep Learning sample programs using PyTorch in C++☆248Updated last year
- Converting a deep neural network to integer-only inference in native C via uniform quantization and the fixed-point representation.☆21Updated 2 years ago
- Tutorials on Quantized Neural Network using Tensorflow Lite☆86Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆274Updated 11 months ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆153Updated 4 months ago
- The quantitative performance comparison among DL compilers on CNN models.☆75Updated 4 years ago
- A self-contained version of the tutorial which can be easily cloned and viewed by others.☆24Updated 5 years ago