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Fudan University
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Handy image viewer based on PyQt5. Convenient for viewing and comparing :-)
An open collection of methodologies to help with successful training of large language models.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Graph Machine Learning course, Xavier Bresson, 2023
Official repository for the ShapeFormer Project
We present Object Images (Omages): An homage to the classic Geometry Images.
This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?
This is the official repository for the book Transformers - The Definitive Guide
[ICLR 2024] SWE-bench: Can Language Models Resolve Real-world Github Issues?
Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.pdf and PV-Tuning: Beyond Straight-Through Estimation for Ext…
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
PyTorch extensions for high performance and large scale training.
A modern shaders mod for Minecraft compatible with existing OptiFine shader packs
A condensed vulkan triangle example
✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.
List of papers related to neural network quantization in recent AI conferences and journals.
GoogleTest - Google Testing and Mocking Framework
🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.
LostRuins / koboldcpp
Forked from ggerganov/llama.cppRun GGUF models easily with a KoboldAI UI. One File. Zero Install.
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…
[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
Official Code for DragGAN (SIGGRAPH 2023)