Pinned Repositories
2016CCF_StateGrid_UserProfile
1st Place Solution for【2016CCF大数据竞赛 客户画像赛题（用户画像）】
2019-Autumn-recruitment-experience
2019届秋招面经集合
AdaptiveL2Regularization
[ICPR 2020] Adaptive L2 Regularization in Person Re-Identification
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
avro4s
Avro schema generation and serialization / deserialization for Scala
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
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。
fuck-login
模拟登录一些知名的网站，为了方便爬取需要登录的网站
Qix
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
ShaunHeNJU's Repositories
ShaunHeNJU/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ShaunHeNJU/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
ShaunHeNJU/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。
ShaunHeNJU/BladeDISC
BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.
ShaunHeNJU/Brain
GPT Plugin With LLMs
ShaunHeNJU/ChatGLM-Efficient-Tuning
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
ShaunHeNJU/Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
ShaunHeNJU/CUDA-Programming-Guide-in-Chinese
This is a Chinese translation of the CUDA programming guide
ShaunHeNJU/DecryptPrompt
总结Prompt&LLM论文，开源数据&模型，AIGC应用
ShaunHeNJU/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
ShaunHeNJU/FasterTransformer
Transformer related optimization, including BERT, GPT
ShaunHeNJU/gemma.cpp
lightweight, standalone C++ inference engine for Google's Gemma models.
ShaunHeNJU/GPT-4-LLM
Instruction Tuning with GPT-4
ShaunHeNJU/gpt-pilot
Dev tool that writes scalable apps from scratch while the developer oversees the implementation
ShaunHeNJU/gptq
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
ShaunHeNJU/HybridBackend
A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster
ShaunHeNJU/lite.ai.toolkit
🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv5. MNN, NCNN, TNN, ONNXRuntime.
ShaunHeNJU/llm-awq
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
ShaunHeNJU/open-interpreter
OpenAI's Code Interpreter in your terminal, running locally
ShaunHeNJU/OpenAI-GPT-For-Pythoner
OpenAI GPT For Python Developers
ShaunHeNJU/OpenSLR
ShaunHeNJU/quivr
🧠 Dump all your files and chat with it using your Generative AI Second Brain using LLMs ( GPT 3.5/4, Private, Anthropic, VertexAI ) & Embeddings 🧠
ShaunHeNJU/Reading_groups
A paper & resource list of large language models, including course, paper, demo, figures
ShaunHeNJU/RestGPT
An LLM-based autonomous agent controlling real-world applications via RESTful APIs
ShaunHeNJU/so-vits-svc
SoftVC VITS Singing Voice Conversion
ShaunHeNJU/stable-diffusion-webui
Stable Diffusion web UI
ShaunHeNJU/statistic
collecting books, papers and docs.
ShaunHeNJU/the-algorithm
Source code for Twitter's Recommendation Algorithm
ShaunHeNJU/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
ShaunHeNJU/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"