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dulvqingyunlt's Projects

brevitas icon brevitas

Brevitas: quantization-aware training in PyTorch

colossalai icon colossalai

Making large AI models cheaper, faster and more accessible

deepctr-torch icon deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepspeed icon deepspeed

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

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

flexgen icon flexgen

Running large language models like OPT-175B/GPT-3 on a single GPU. Focusing on large-batch high-throughput generation.

hugectr icon hugectr

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

kaldi icon kaldi

kaldi-asr/kaldi is the official location of the Kaldi project.

llm-fp4 icon llm-fp4

The official implementation of the EMNLP 2023 paper LLM-FP4

mqlib icon mqlib

Implementations of heuristics for the Max-cut and QUBO problems in C++

niti icon niti

Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv

openfhe-development icon openfhe-development

This is the development repository for the OpenFHE library. The current pre-release version is v1.1.0 (released on July 28, 2023): clone it from the main branch. The current stable version is 1.0.4 (released on June 19, 2023): clone it from the stable branch.

protobuf icon protobuf

Protocol Buffers - Google's data interchange format

qubo-nn icon qubo-nn

Classifying, auto-encoding and reverse-engineering QUBO matrices

rapq icon rapq

Pytorch implementation of RAPQ, IJCAI 2022

spikingjelly icon spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

tensorrt icon tensorrt

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

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