tiantian-han Goto Github PK
Name: Tiantian Han
Type: User
Company: Xilinx Technology Beijing Limited
Name: Tiantian Han
Type: User
Company: Xilinx Technology Beijing Limited
3D ResNets for Action Recognition (CVPR 2018)
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
alibabacloud-quantization-networks
Example for applying Gaussian and Laplace clipping on activations of CNN.
[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"
Google Brain AutoML
A curated list of automated machine learning papers, articles, tutorials, slides and projects
CVPR 论文收集,包含但不限于2020、2019、2018、2017文章
Summary, Code for Deep Neural Network Quantization
A curated list for Efficient Large Language Models
A curated list of neural network pruning resources.
Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design
Paper list for quantization of transformers (ViT, BERT, GPT...)
Batch-Instance Normalization (BIN)
BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
8-bit CUDA functions for PyTorch
Training with Block Minifloat number representation
Brevitas: quantization-aware training in Pytorch
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Object detection, 3D detection, and pose estimation using center point detection:
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.