Misby's repositories
face_recognition
The world's simplest facial recognition api for Python and the command line
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
tiny-training
On-Device Training Under 256KB Memory [NeurIPS'22]
TinyNeuralNetwork
TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
coder-kung-fu
开发内功修炼
examples
TensorFlow examples
GPy
Gaussian processes framework in python
llama2.c
Inference Llama 2 in one file of pure C
LLMSpeculativeSampling
Fast inference from large lauguage models via speculative decoding
MegEngine
MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架
MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
mlc-llm
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
Model_Sandbox_imgclsmob
Sandbox for training deep learning networks
nnfusion
A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.
once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
PowerInfer
High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
pytorch-distributed
A quickstart and benchmark for pytorch distributed training.
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and per
transformers-android-demo
📲 Transformers android examples (Tensorflow Lite & Pytorch Mobile)