pySpeechRev

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba. Full multimodal LLM Android App:[MNN-LLM-Android](./apps/Android/MnnLlmChat/README.md)

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-performance deep learning inference library step by step

Vulkan/CUDA/HIP/OpenCL/Level Zero/Metal Fast Fourier Transform library

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Building Convolutional Neural Networks From Scratch using NumPy

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network

Deep Learning in C#

ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083