helen03's Stars
google-research/bert
TensorFlow code and pre-trained models for BERT
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
mli/paper-reading
深度学习经典、新论文逐段精读
karpathy/llm.c
LLM training in simple, raw C/CUDA
UKPLab/sentence-transformers
State-of-the-Art Text Embeddings
BlinkDL/RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
jina-ai/clip-as-service
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
liaokongVFX/LangChain-Chinese-Getting-Started-Guide
LangChain 的中文入门教程
harvardnlp/annotated-transformer
An annotated implementation of the Transformer paper.
alirezadir/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
guangzhengli/ChatFiles
Document Chatbot — multiple files. Powered by GPT / Embedding.
Doragd/Algorithm-Practice-in-Industry
搜索、推荐、广告、用增等工业界实践文章收集(来源:知乎、Datafuntalk、技术公众号)
dukedaily/solidity-expert
4年打磨-2022年海外一线大厂-以太坊开发教程(a solidity tutorial makes you a dapp expert)WIP
hua1995116/indiehackers-steps
《独立开发者的艺术》打造最全的独立开发者指南,一人公司。
jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Tongjilibo/bert4torch
An elegent pytorch implement of transformers
DA-southampton/Read_Bert_Code
Bert源码阅读与讲解(Pytorch版本)-以BERT文本分类代码为例子
madaan/self-refine
LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.
guangzhengli/vectorhub
Quickly and easily build AI website or application by using embeddings!
ahmedfgad/NeuralGenetic
Building and training artificial neural networks (regression or classification) using the genetic algorithm.
aihes/LangChain-Tutorials-and-Examples
LangChain结合了大型语言模型、知识库和计算逻辑,可以用于快速开发强大的AI应用。这个仓库包含了我对LangChain的学习和实践经验,包括教程和代码案例。让我们一起探索LangChain的可能性,共同推动人工智能领域的进步!
taishan1994/sentencepiece_chinese_bpe
使用sentencepiece中BPE训练中文词表,并在transformers中进行使用。
Tencent/SessionAnalytics
SessionAnalytics-用户路径数据分析挖掘框架
pengwei-iie/A_survey_and_tools_of_ChatGPT
Some survey and tools of ChatGPT or ChatGPT-Style Model
edgeslab/CTL
A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
yixinwang/causal-recsys-public
rvilla87/ETL-PySpark
ETL (Extract, Transform and Load) with the Spark Python API (PySpark) and Hadoop Distributed File System (HDFS)
dukedaily/uniswapv2
关于UniswapV2,所有你需要了解的一切,这里估计一定都有!文档+视频(合约解析部署、前端部署、subgraph解析部署)
kunalBhashkar/HADOOP_PySpark_Example
This repository contains SparkTorch on YARN and time series using the Facebook prophet example
dukedaily/smart-contract-best-practices
A guide to smart contract security best practices