Stars
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Various indicators developed or collected for the Freqtrade
We are committed to the open-sourcing quantitative knowledge, aiming to bridge the information gap between the domestic and international quantitative finance industries.我们致力于量化知识的开源与汉化,打破国内外量化金融行业…
A Multilingual Replicable Instruction-Following Model
A collection of AWESOME things about mixture-of-experts
⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡
🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.
A quick guide (especially) for trending instruction finetuning datasets
OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
Instruction Tuning with GPT-4
Alpaca dataset from Stanford, cleaned and curated
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Instruct-tune LLaMA on consumer hardware
Ongoing research training transformer language models at scale, including: BERT & GPT-2
deepspeedai / Megatron-DeepSpeed
Forked from NVIDIA/Megatron-LMOngoing research training transformer language models at scale, including: BERT & GPT-2
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Code and documentation to train Stanford's Alpaca models, and generate the data.
Awesome-LLM: a curated list of Large Language Model
Mining synonyms from unstructured and semi-structured data