fengzhiquan1046 Goto Github PK

adalora

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).

ai-research-tools

:hammer:AI 方向好用的科研工具

dm_final_project

fairmi

Fair Representation Learning for Recommendation: A Mutual Information-Based Perspective. AAAI, 2023.

ggml

Tensor library for machine learning

ipex-llm

Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.

label-words-are-anchors

Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

llama

Inference code for LLaMA models

llama-cpp-torch

llama.cpp to PyTorch Converter

llama.cpp

Port of Facebook's LLaMA model in C/C++

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

multi-task-nlp

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

nlper-arsenal_competition_and_datasets

收录NLP竞赛策略实现、各任务baseline、相关竞赛经验贴（当前赛事、往期赛事、训练赛）、NLP会议时间、常用自媒体、GPU推荐等，持续更新中

open-fpga-verilog-tutorial

Learn how to design digital systems and synthesize them into an FPGA using only opensource tools

powerinfer

High-speed Large Language Model Serving on PCs with Consumer-grade GPUs

professional-cuda-c-programming-code-and-notes

CUDA C 编程权威指南代码实现 包含了书上第二章到第八章的大部分代码实现和作者笔记，全由作者本人手动实现，难免有错误的地方，请大家谨慎参考，非常欢迎对错误的指正。 如果有帮助的话请Star一下，对作者帮助很大，谢谢！

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

servstat

Server resource and GPU process monitor.

tbrain_2023_credit_submit

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.