jason-huh

jason-huh's Stars

• huawei-noah/Efficient-NLP

  Language:Python8813

• FLHonker/Awesome-Knowledge-Distillation

  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

  2.5k336

• bytedance/effective_transformer

  Running BERT without Padding

  Language:C++46353

• triton-inference-server/server

  The Triton Inference Server provides an optimized cloud and edge inferencing solution.

  Language:Python8.5k1.5k

• cs217/cs217.github.io

  Course Webpage for CS 217 Hardware Accelerators for Machine Learning, Stanford University

  Language:CSS9613

• apache/tvm

  Open deep learning compiler stack for cpu, gpu and specialized accelerators

  Language:Python11.9k3.5k

• gilshm/sparq

  Post-training sparsity-aware quantization

  Language:Python335

• NVIDIA/FasterTransformer

  Transformer related optimization, including BERT, GPT

  Language:C++5.9k895

• t-vi/pytorch-tvmisc

  Totally Versatile Miscellanea for Pytorch

  Language:Jupyter Notebook46872

• microsoft/onnxruntime

  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

  Language:C++15k3k

• intel/neural-compressor

  SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

  Language:Python2.3k258

• kssteven418/I-BERT

  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization

  Language:Python23032

• kingoflolz/mesh-transformer-jax

  Model parallel transformers in JAX and Haiku

  Language:Python6.3k894

• amirgholami/ZeroQ

  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

  Language:Python27456

• Efficient-ML/Awesome-Model-Quantization

  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 (papers, repositories) that are missed by the repo.

  1.9k208

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.5k2.6k

• parachutel/cs224n-stanford-winter2021

  Stanford Winter 2021

  Language:Python8627

• leehanchung/cs224n

  Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020

  Language:JavaScript12542

• rishikksh20/LightSpeech

  LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

  Language:Python828

• jik876/hifi-gan

  HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

  Language:Python2k510

• ming024/FastSpeech2

  An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

  Language:Python1.9k540

• chester256/Model-Compression-Papers

  Papers for deep neural network compression and acceleration

  39680

• thunlp/PromptPapers

  Must-read papers on prompt-based tuning for pre-trained language models.

  4.1k381

• facebookresearch/LAMA

  LAnguage Model Analysis

  Language:Python1.4k183

• hiaoxui/soft-prompts

  Language:Python889

• Yeachan-Heo/HSC2021-AlphaSolar

  Language:Jupyter Notebook135

• fastai/course-nlp

  A Code-First Introduction to NLP course

  Language:Jupyter Notebook3.4k1.5k

• deeppavlov/DeepPavlov

  An open source library for deep learning end-to-end dialog systems and chatbots.

  Language:Python6.8k1.2k

• google-research/bert

  TensorFlow code and pre-trained models for BERT

  Language:Python38.4k9.6k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python136k27.3k