C-TC

calculon

cookbook

Deep learning for dummies. All the practical details and useful utilities that go into working with real models.

dace

DaCe - Data Centric Parallel Programming

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DHS-LLM-Workshop

DHS 2023 LLM Workshop by Sourab Mangrulkar

flash-attention

Fast and memory-efficient exact attention

json-tutorial

从零开始的 JSON 库教程

lightllm

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

mlir-dace

Data-Centric MLIR dialect

dace

DaCe - Data Centric Parallel Programming

C-TC/calculon

C-TC/cookbook

Deep learning for dummies. All the practical details and useful utilities that go into working with real models.

C-TC/dace

DaCe - Data Centric Parallel Programming

C-TC/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

C-TC/DHS-LLM-Workshop

DHS 2023 LLM Workshop by Sourab Mangrulkar

C-TC/flash-attention

Fast and memory-efficient exact attention

C-TC/lightllm

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

C-TC/LPG2vec

C-TC/master_thesis

C-TC/mlir-dace

Data-Centric MLIR dialect

C-TC/Optimizations-of-ball-arithmetic

C-TC/PsPIN-benchmark-sparse-reduction

C-TC/Reliable-Transport-Project

C-TC/megablocks

C-TC/Megatron-LLM

distributed trainer for LLMs

C-TC/Megatron-LM

Ongoing research training transformer models at scale

C-TC/MS-AMP

Microsoft Automatic Mixed Precision Library

C-TC/nanotron

Minimalistic large language model 3D-parallelism training

C-TC/nccl

Optimized primitives for collective multi-GPU communication

C-TC/nccl-tests

NCCL Tests

C-TC/OLMo

Modeling, training, eval, and inference code for OLMo

C-TC/oneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

C-TC/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

C-TC/taco

The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

C-TC/torchtitan

A native PyTorch Library for large model training

C-TC/TransformerEngine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

C-TC/triton

Development repository for the Triton language and compiler

C-TC/veScale

A PyTorch Native LLM Training Framework

C-TC/xla

A machine learning compiler for GPUs, CPUs, and ML accelerators

C-TC/xv6-riscv

Xv6 for RISC-V