Pinned Repositories
Awesome-Chinese-LLM
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
CBAM-TensorFlow2.0
CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0
courses
Anthropic's educational courses
cp_decomposition
Matrix&Tensor decomposition
FasterTransformer
Transformer related optimization, including BERT, GPT
model_deployment
本仓库提供了模型部署与量化等相关学习资料和参考资料、丰富的代码范例。主要涉及ONNX/TensorRT/PPQ/Triton等。
NLP-Learning
ResNet
A minimal Tensorflow2.0 implementation of Resnet on CIFAR10 dataset.
vpdbz
YOLOv2-TensorFlow2.0
A minimal Tensorflow2.0 implementation of YOLOv2.
zhangkaifang's Repositories
zhangkaifang/CBAM-TensorFlow2.0
CBAM(Convolutional Block Attention Module) implementation on TensowFlow2.0
zhangkaifang/ResNet
A minimal Tensorflow2.0 implementation of Resnet on CIFAR10 dataset.
zhangkaifang/cp_decomposition
Matrix&Tensor decomposition
zhangkaifang/model_deployment
本仓库提供了模型部署与量化等相关学习资料和参考资料、丰富的代码范例。主要涉及ONNX/TensorRT/PPQ/Triton等。
zhangkaifang/NLP-Learning
zhangkaifang/YOLOv2-TensorFlow2.0
A minimal Tensorflow2.0 implementation of YOLOv2.
zhangkaifang/vpdbz
zhangkaifang/Awesome-Chinese-LLM
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
zhangkaifang/courses
Anthropic's educational courses
zhangkaifang/FasterTransformer
Transformer related optimization, including BERT, GPT
zhangkaifang/GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
zhangkaifang/KuiperInfer
带你从零实现一个高性能的深度学习推理库，支持Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
zhangkaifang/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
zhangkaifang/TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
zhangkaifang/fish-speech
Brand new TTS solution
zhangkaifang/rag-from-scratch
zhangkaifang/subtitle-translator-electron
↔️ Translate subtitle using ChatGPT
zhangkaifang/synthetic-qa-generation
This hands-on lab aims to alleviate some of that headache by demonstrating how to create/augment a QnA dataset from complex unstructured data, assuming a real-world scenario. The sample aims to be step-by-step for developers and data scientists, as well as those in the field, to try it out with a little help.
zhangkaifang/TTS
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
zhangkaifang/use-tools
如何从零开始构建一个 AI 智能体，包括智能体的工作原理、Python 代码实现以及如何使用大语言模型驱动智能体来影响其环境。