Xiwen.HE's 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。
Book-of-MLM
《多模态大模型:新一代人工智能技术范式》作者:刘阳,林倞
ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
ConSERT
Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
decima-sim
Learning Scheduling Algorithms for Data Processing Clusters
DeepRL
DRL的笔试题/面试题
demo-routenet
Demo of RouteNet in ACM SIGCOMM'19
dolma
Data and tools for generating and inspecting OLMo pre-training data.
ElegantRL
Cloud-native Deep Reinforcement Learning. 🔥
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
fastText
Library for fast text representation and classification.
FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
GeneFacePlusPlus
GeneFace++: Generalized and Stable Real-Time 3D Talking Face Generation; Official Code
graph-learn
An Industrial Graph Neural Network Framework
LLaMA-Factory
Unify Efficient Fine-Tuning of 100+ LLMs
LLMsNineStoryDemonTower
【LLMs九层妖塔】分享 LLMs在自然语言处理(ChatGLM、Chinese-LLaMA-Alpaca、小羊驼 Vicuna、LLaMA、GPT4ALL等)、信息检索(langchain)、语言合成、语言识别、多模态等领域(Stable Diffusion、MiniGPT-4、VisualGLM-6B、Ziya-Visual等)等 实战与经验。
LLMSurvey
The official GitHub page for the survey paper "A Survey of Large Language Models".
OLMo
Modeling, training, eval, and inference code for OLMo
opencompass
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
paper-reading
深度学习经典、新论文逐段精读
QUANTAXIS
QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
rlb-dp
Real-Time Bidding by Reinforcement Learning in Display Advertising
rlkit
Collection of reinforcement learning algorithms
Soft-Actor-Critic-and-Extensions
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)