L0mc

L0mc's Stars

• carbon-language/carbon-lang

  Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)

  Language:C++32.3k1.5k

• HobbitLong/SupContrast

  PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

  Language:Python3.1k529

• HobbitLong/PyContrast

  PyTorch implementation of Contrastive Learning methods

  Language:Python1.9k186

• JoyHuYY1412/DDE_CIL

  Language:Python587

• Impression2805/CVPR21_PASS

  PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

  Language:Python10420

• NVlabs/DeepInversion

  Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

  Language:Python48777

• yaoyao-liu/class-incremental-learning

  PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

  Language:Python46171

• icoz69/DeepEMD

  Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

  Language:Python57582

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python50.6k16.3k

• chefyuan/algorithm-base

  一位酷爱做饭的程序员，立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com

  10.6k1.6k

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.3k467

• imbue-ai/self_supervised

  A Pytorch-Lightning implementation of self-supervised algorithms

  Language:Python53552

• Spijkervet/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

  Language:Python768164

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.8k785

• facebookarchive/fb.resnet.torch

  Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

  Language:Lua2.3k664

• harvardnlp/annotated-transformer

  An annotated implementation of the Transformer paper.

  Language:Jupyter Notebook5.7k1.2k

• huggingface/transformers

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

  Language:Python134k26.9k

• tianheyu927/PCGrad

  Code for "Gradient Surgery for Multi-Task Learning"

  Language:Python30334

• davda54/sam

  SAM: Sharpness-Aware Minimization (PyTorch)

  Language:Python1.8k196

• floydhub/imagenet

  Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

  Language:Python15753

• CannyLab/tsne-cuda

  GPU Accelerated t-SNE for CUDA with Python bindings

  Language:Cuda1.8k129

• JinshuChen/MOGAN

  Language:Python6820

• yulu0724/SDC-IL

  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)

  Language:Python11834

• mmasana/FACIL

  Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

  Language:Python52599

• RaptorMai/online-continual-learning

  A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

  Language:Python37757

• sangyx/deep-finance

  Datasets, papers and books on AI & Finance.

  1.4k277

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python194k45.6k

• facebookresearch/GradientEpisodicMemory

  Continuum Learning with GEM: Gradient Episodic Memory

  Language:Python39473

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.8k302

• joansj/hat

  Overcoming catastrophic forgetting with hard attention to the task

  Language:Python20352