JunLi-Galios

JunLi-Galios's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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• matplotlib/matplotlib

  matplotlib: plotting with Python

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• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

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• fangwei123456/spikingjelly

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

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• YyzHarry/imbalanced-semi-self

  [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

  Language:Python7361424116

• ermongroup/ncsn

  Noise Conditional Score Networks (NeurIPS 2019, Oral)

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• zzw-zwzhang/Awesome-of-Long-Tailed-Recognition

  A curated list of long-tailed recognition resources.

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• ZIYU-DEEP/Awesome-Information-Bottleneck

  This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

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• BorisMuzellec/MissingDataOT

  A Pytorch implementation of missing data imputation using optimal transport.

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• XuezheMax/wolf

  Invertible Generative Flows

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• CW-Huang/CP-Flow

  Convex potential flows

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• rosinality/igebm-pytorch

  Implicit Generation and Generalization in Energy Based Models in PyTorch

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• differint/differint

  Python package for calculating fractional derivatives.

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• ruiqigao/recovery_likelihood

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• ZheLi2020/TimestampActionSeg

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• PetrMokrov/Large-Scale-Wasserstein-Gradient-Flows

  Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)

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• dair-iitd/dl-with-constraints

  Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'

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• meyerscetbon/LinearSinkhorn

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• machenslab/spikes

  Code for spike coding networks

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• uma-pi1/DSGDpp

  Implementations of various parallel algorithms for matrix factorization (including DSGD++)

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• abhowmick22/distributedSGD

  This is a Spark implementation (Python API) for Distributed Stochastic Gradient Descent based on

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• aminbana/GeMCL

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• mdnls/scones

  Sinkhorn COnditional NEural Sampling

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• HaoyiZhu/SNN_Image_Classification

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• shinyflight/SLOGAN

  Stein Latent Optimization for Generative Adversarial Networks (ICLR 2022)

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• toantm/pytorch-bda

  A Pytorch version for the paper A Bayesian Data Augmentation Approach for Learning Deep Models

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• arakotom/dp_swd

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• rpazuki/snn.tutorial

  Demo: Spiking Neural Network (SNN) using Generalised Linear Model (GLM)

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• Yesha19/Collaborative-Filtering

  Collaborative Filtering using SGD and DSGD with Matrix Factorisation

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• XintianHan/Marginbound

  Explore the margin bounds of the different networks

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