FLVER Editor 2.0 is a complete re-imagination of the original FLVER Editor model editing tool, designed to modify the FLVER model file format for the mainline FromSoftware series of games.

[EMNLP'24] CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Transformer related optimization, including BERT, GPT

You like pytorch? You like micrograd? You love tinygrad! ❤️

Logging my attempts for running a gem5 full system simulation

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

Optimized primitives for collective multi-GPU communication

DeDRM tools for ebooks

Open-source high-performance RISC-V processor

GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as…

Free universal database tool and SQL client

Code and documentation to train Stanford's Alpaca models, and generate the data.

Berkeley's Spatial Array Generator

NEST GPU

A fast and scalable x86-64 multicore simulator

DRAMsim3: a Cycle-accurate, Thermal-Capable DRAM Simulator

DRAMSim2: A cycle accurate DRAM simulator

a vue2.0 minimal admin template

🎉 A magical vue admin https://panjiachen.github.io/vue-element-admin

Vue White Dashboard by Creative Tim

🌺 Minimalist Vim Plugin Manager

The Sandboxie application

Distributed Evolutionary Algorithms in Python

The C++ Network Library Project -- cross-platform, standards compliant networking library.

Simplex mesh adaptivity for HPC

KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of …

Multi-way graph partitioning algorithms: FMS (Fiduccia-Mattheyses-Sanchis), PLM (Partitioning by Locked Moves), PFM (Partitioning by Free Moves)

Neocortical Simulator: An extensible neural simulator for heterogeneous clusters.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.