Stars
Emacs interface to Google Translate
A community driven list of useful Emacs packages, libraries and other items.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
本仓库持续更新【概率计算】问题及解答。主要来源是一些书、我和周围朋友面试遇到的题以及网上的零散面经中觉得还不错的题。
org-mode modules for citations, cross-references, bibliographies in org-mode and useful bibtex tools to go with it.
A carefully crafted Org exporter back-end for Hugo
Fast and memory-efficient exact attention
A presentation tool for org-mode based on the visibility of outline trees
🦜🔗 Build context-aware reasoning applications
Ongoing research training transformer models at scale
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
An annotated implementation of the Transformer paper.
Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)
Transparent and Efficient Financial Analysis
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
Emacs Lisp files for interacting with the C++Ledger accounting system
Speech-to-Text interface for Emacs using OpenAI's whisper model and whisper.cpp as inference engine.
Emacs minor mode for making Anki cards with Org
PDF references add-on for Zotero.
TuShare is a utility for crawling historical data of China stocks
Chapyter: ChatGPT Code Interpreter in Jupyter Notebooks
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
This is the code for "Stock Market Prediction" by Siraj Raval on Youtube
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations