Pinned Repositories
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现代程序设计代码
abc
abc
atomix
A reactive Java framework for building fault-tolerant distributed systems
AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
DeepGamingAI_FIFARL
Using Reinforcement Learning to play FIFA
directx-sdk-samples
This repo contains C++ samples from the DirectX SDK updated to build using the Windows 8.x SDK or Windows 10 SDK
FasterTransformer
Transformer related optimization, including BERT, GPT, plus xlmRoBERTa and RoBERTa-like models
homework-0609
围棋代码
NetEase
After Work
vllm
compatible for Qwen14b 72b and Ali Inference
ehuaa's Repositories
ehuaa/homework-0609
围棋代码
ehuaa/vllm
compatible for Qwen14b 72b and Ali Inference
ehuaa/FasterTransformer
Transformer related optimization, including BERT, GPT, plus xlmRoBERTa and RoBERTa-like models
ehuaa/NetEase
After Work
ehuaa/------
现代程序设计代码
ehuaa/abc
abc
ehuaa/atomix
A reactive Java framework for building fault-tolerant distributed systems
ehuaa/AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
ehuaa/DeepGamingAI_FIFARL
Using Reinforcement Learning to play FIFA
ehuaa/directx-sdk-samples
This repo contains C++ samples from the DirectX SDK updated to build using the Windows 8.x SDK or Windows 10 SDK
ehuaa/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
ehuaa/hangtu
hangtu
ehuaa/homework-06
围棋代码
ehuaa/IndeedTokyoWebTest2018
ehuaa/libsdca
Multiclass classification based on stochastic dual coordinate ascent
ehuaa/modern-programming
现代程序设计
ehuaa/ppq
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
ehuaa/pychat
A Python chat server, with multiple chat rooms.
ehuaa/python-qq
Automatically exported from code.google.com/p/python-qq
ehuaa/restful-pytorch-automation
PyTorch Automation through RESTful APIs with SocketIO and Redis Queues
ehuaa/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
ehuaa/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.