by-liu

by-liu's Stars

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

  Language:HTML118k1.4k016k

• typst/typst

  A new markup-based typesetting system that is powerful and easy to learn.

  Language:Rust36.9k1042.9k994

• openai/chatgpt-retrieval-plugin

  The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

  Language:Python21.1k3202353.7k

• microsoft/qlib

  Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

  Language:Python16k3039262.7k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python15.1k1231.2k1.4k

• Lightning-AI/litgpt

  20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

  Language:Python11.2k1008281.1k

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10.9k16065846

• mshumer/gpt-prompt-engineer

  Language:Jupyter Notebook9.5k8630652

• CASIA-IVA-Lab/FastSAM

  Fast Segment Anything

  Language:Python7.7k55209713

• google/gemma.cpp

  lightweight, standalone C++ inference engine for Google's Gemma models.

  Language:C++6.1k4188521

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.4k29247662

• georgezouq/awesome-ai-in-finance

  🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.

  3.7k1263440

• cohere-ai/cohere-toolkit

  Cohere Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.

  Language:TypeScript2.9k4157383

• rapidfuzz/RapidFuzz

  Rapid fuzzy string matching in Python using various string metrics

  Language:Python2.8k26255121

• letianzj/QuantResearch

  Quantitative analysis, strategies and backtests

  Language:Jupyter Notebook2.3k755493

• gkamradt/LLMTest_NeedleInAHaystack

  Doing simple retrieval from LLM models at various context lengths to measure accuracy

  Language:Jupyter Notebook1.7k1726181

• THUDM/ImageReward

  [NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

  Language:Python1.3k159665

• aws-samples/claude-prompt-generator

  Language:Python1.1k351120

• parthsarthi03/raptor

  The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

  Language:Python1.1k1246148

• evanmiller/LLM-Reading-List

  LLM papers I'm reading, mostly on inference and model compression

  70523032

• aws-samples/amazon-textract-textractor

  Analyze documents with Amazon Textract and generate output in multiple formats.

  Language:Jupyter Notebook42019206148

• jacopotagliabue/MLSys-NYU-2022

  Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022

  Language:Jupyter Notebook3926033

• kyegomez/CM3Leon

  An open source implementation of "Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning", an all-new multi modal AI that uses just a decoder to generate both text and images

  Language:Python363221518

• bojone/rerope

  Rectified Rotary Position Embeddings

  Language:Python348112130

• jusiro/FLAIR

  [MedIA'24] FLAIR: A Foundation LAnguage-Image model of the Retina for fundus image understanding.

  Language:Python983712

• ThalesGroup/pim-generalized-category-discovery

  Code for our ICCV 2023 paper "Parametric Information Maximization for Generalized Category Discovery"

  Language:Python15241

• adigasu/Anatomically-aware_Uncertainty_for_Semi-supervised_Segmentation

  Anatomically-aware Uncertainty for Semi-supervised Image Segmentation

  Language:Python14322

• smounsav/tta_bot

  Code for Bag of Tricks for Fully Test-Time Adaptation

  Language:Python8100

• rB080/WSS_POLE

  This is the official implementation of our PrOmpt cLass lEarning (POLE).

  Language:Jupyter Notebook6002

• smounsav/bilevel_augment_histo

  Code for Automatic DA Learning using Bilevel Optimization for Histopathological Images paper

  Language:Python5120