xbm626

xbm626's Stars

• ohmyzsh/ohmyzsh

  🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.

  Language:Shell174k2.6k4.8k25.9k

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k2.3k85423.2k

• openai/whisper

  Robust Speech Recognition via Large-Scale Weak Supervision

  Language:Python71.7k57608.5k

• Olshansk/interview

  Everything you need to prepare for your technical interview

  17.8k781503.7k

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python14k1263142.1k

• wenet-e2e/wenet

  Production First and Production Ready End-to-End Speech Recognition Toolkit

  Language:Python4.2k891k1.1k

• astooke/rlpyt

  Reinforcement Learning in PyTorch

  Language:Python2.2k52169324

• cgpotts/cs224u

  Code for Stanford CS224u

  Language:Jupyter Notebook2.1k8522910

• mit-han-lab/once-for-all

  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

  Language:Python1.9k5375333

• mit-han-lab/proxylessnas

  [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

  Language:C++1.4k700285

• wyharveychen/CloserLookFewShot

  source code to ICLR'19, 'A Closer Look at Few-shot Classification'

  Language:Python1.1k1974268

• k2-fsa/icefall

  Language:Python93848664297

• huggingface/naacl_transfer_learning_tutorial

  Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA

  Language:Python720404123

• google-research/nasbench

  NASBench: A Neural Architecture Search Dataset and Benchmark

  Language:Python6851924128

• mit-han-lab/lite-transformer

  [ICLR 2020] Lite Transformer with Long-Short Range Attention

  Language:Python599203981

• hirofumi0810/neural_sp

  End-to-end ASR/LM implementation with PyTorch

  Language:Python5963289141

• zhijian-liu/torchprofile

  A general and accurate MACs / FLOPs profiler for PyTorch models

  Language:Python571101939

• microsoft/Focal-Transformer

  [NeurIPS 2021 Spotlight] Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"

  Language:Python545162560

• mit-han-lab/amc

  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

  Language:Python4311725114

• google-research/l2p

  Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

  Language:Python41493841

• mit-han-lab/haq

  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

  Language:Python370202286

• mit-han-lab/hardware-aware-transformers

  [ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

  Language:Python330131752

• kssteven418/Squeezeformer

  [NeurIPS'22] Squeezeformer: An Efficient Transformer for Automatic Speech Recognition

  Language:Python24415419

• renqianluo/NAO_pytorch

  Pytorch Implementation of Neural Architecture Optimization

  Language:Python11261132

• j-min/MoChA-pytorch

  PyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)

  Language:Python7710520

• asappresearch/sew

  Language:Python746410

• kalviny/IMTA

  Language:Python47527

• igolan/bgd

  Implementation of Bayesian Gradient Descent

  Language:Python37358

• Cyril9227/Keras_AttentiveNormalization

  Unofficial Keras implementation of the paper Attentive Normalization.

  Language:Jupyter Notebook29555

• nmasse/Context-Dependent-Gating

  Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units

  Language:Python234113