opti_qian's repositories
intro-llm.github.io
website
llama
Inference code for LLaMA models
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
CLIP
Contrastive Language-Image Pretraining
openmlsys-zh
《Machine Learning Systems: Design and Implementation》- Chinese Version
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
vision
Datasets, Transforms and Models specific to Computer Vision
Un-Mix
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
PINTO_model_zoo
A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
loss-landscape
Code for visualizing the loss landscape of neural nets
pytorch-playground
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
bolt
10x faster matrix and vector operations.
model-quantization
Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)
BRECQ
Pytorch implementation of BRECQ, ICLR 2021
zju-icicles
浙江大学课程攻略共享计划
Dynamic-Vision-Transformer
Accelerating T2t-ViT by 1.6-3.6x.
Pruning-Filter-in-Filter
Pruning Filter in Filter(NeurIPS2020)
Group-CAM
Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks
HAWQ
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
LeetCode
This repository for programming.
Score-CAM
[CVPRW 2020] Official implementation of Score-CAM in Pytorch
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.