Owner
AnswerDotAI
70 indexed repositories · View on GitHub
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fasthtml
The fastest way to create an HTML app
Jupyter Notebook · 7018 stars
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nbdev
Create delightful software with Jupyter Notebooks
Jupyter Notebook · 5316 stars
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gpu.cpp
A lightweight library for portable low-level GPU computation using WebGPU.
C++ · 3985 stars
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RAGatouille
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-...
Python · 3956 stars
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llms-txt
The /llms.txt file, helping language models use your website
Jupyter Notebook · 2611 stars
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ModernBERT
Bringing BERT into modernity via both architecture changes and scaling
Python · 1721 stars
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rerankers
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
Python · 1632 stars
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fsdp_qlora
Training LLMs with QLoRA + FSDP
Jupyter Notebook · 1552 stars
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fastcore
Python supercharged for the fastai library
Jupyter Notebook · 1106 stars
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fastprogress
Simple and flexible progress bar for Jupyter Notebook and console
Jupyter Notebook · 1098 stars
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fasthtml-example
Example fasthtml applications demonstrating a range of web programming techniques
CSS · 854 stars
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byaldi
Use late-interaction multi-modal models such as ColPali in just a few lines of code.
Python · 851 stars
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ghapi
A delightful and complete interface to GitHub's amazing API
Python · 685 stars
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MonsterUI
MonsterUI is a FastHTML Tailwind-powered UI framework for building beautiful web interfaces with minimal code.
Jupyter Notebook · 522 stars
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fastsetup
Setup all the things
Shell · 480 stars
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shell_sage
ShellSage saves sysadmins’ sanity by solving shell script snafus super swiftly
Jupyter Notebook · 409 stars
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claudette
Claudette is Claude's friend
Jupyter Notebook · 316 stars
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fastlite
A bit of extra usability for sqlite
Jupyter Notebook · 232 stars
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clipmd
Convert clipboard from HTML to MD
JavaScript · 221 stars
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cold-compress
Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of...
Python · 153 stars
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AnswerDotAI/cold-compress#29 · 0 comments · 0 reactions · 2 assignees ·
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Implement InfLLM Open
AnswerDotAI/cold-compress#30 · 0 comments · 0 reactions · 1 assignee ·
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AnswerDotAI/cold-compress#35 · 0 comments · 0 reactions · 0 assignees ·
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Implement ThinK Open
AnswerDotAI/cold-compress#36 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/cold-compress#41 · 1 comment · 0 reactions · 0 assignees ·
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SnapKV Open
AnswerDotAI/cold-compress#42 · 2 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/cold-compress#43 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/cold-compress#44 · 1 comment · 0 reactions · 0 assignees ·
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Installation Issue Open
AnswerDotAI/cold-compress#45 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/cold-compress#46 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fh-deploy#5 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fh-deploy#6 · 1 comment · 1 reaction · 0 assignees ·
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AnswerDotAI/fh-deploy#12 · 2 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#22 · 2 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#24 · 39 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#26 · 1 comment · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#29 · 4 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#31 · 0 comments · 0 reactions · 0 assignees ·
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Torch Compile? Open
AnswerDotAI/fsdp_qlora#34 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#37 · 3 comments · 0 reactions · 0 assignees ·
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Bigger context size? Open
AnswerDotAI/fsdp_qlora#38 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#40 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#42 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#43 · 1 comment · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#44 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#45 · 6 comments · 0 reactions · 0 assignees ·
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how to inference using 70b? or we need to implement it with the same way to train it by ourself? Open
AnswerDotAI/fsdp_qlora#46 · 1 comment · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#47 · 4 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#48 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#49 · 1 comment · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#50 · 0 comments · 0 reactions · 0 assignees ·
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llama3? Open
AnswerDotAI/fsdp_qlora#53 · 0 comments · 6 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#55 · 0 comments · 0 reactions · 0 assignees ·
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BOFT support? Open
AnswerDotAI/fsdp_qlora#56 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#57 · 0 comments · 0 reactions · 0 assignees ·
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DeepSeek VL support Open
AnswerDotAI/fsdp_qlora#58 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#59 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#60 · 4 comments · 0 reactions · 0 assignees ·
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ValueError report Open
AnswerDotAI/fsdp_qlora#61 · 0 comments · 0 reactions · 0 assignees ·
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train.py Open
AnswerDotAI/fsdp_qlora#63 · 1 comment · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#68 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#69 · 0 comments · 1 reaction · 0 assignees ·
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AnswerDotAI/fsdp_qlora#74 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#75 · 0 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/fsdp_qlora#76 · 7 comments · 0 reactions · 0 assignees ·
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enhancement
AnswerDotAI/byaldi#3 · 2 comments · 2 reactions · 0 assignees ·
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bug ColPali Upstream
AnswerDotAI/byaldi#15 · 4 comments · 0 reactions · 0 assignees ·
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AnswerDotAI/byaldi#27 · 9 comments · 2 reactions · 0 assignees ·
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enhancement
AnswerDotAI/byaldi#30 · 2 comments · 1 reaction · 0 assignees ·
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AnswerDotAI/byaldi#31 · 1 comment · 4 reactions · 0 assignees ·