jc-audet

jc-audet's Stars

• Fatal1ty/mashumaro

  Fast and well tested serialization library

  Language:Python76645

• mlflow/mlflow-export-import

  Language:Python13177

• state-spaces/mamba

  Mamba SSM architecture

  Language:Python12.7k1.1k

• larocs/EMG-GAN

  GANs for generating EMG signals

  Language:Python7022

• facebookresearch/fairseq2

  FAIR Sequence Modeling Toolkit 2

  Language:Python67878

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.1k12.2k

• rom1504/any2dataset

  Turn any collection of files into a dataset

  Language:Python427

• webdataset/webdataset

  A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

  Language:Python2.2k177

• facebookresearch/metaseq

  Repo for external large-scale work

  Language:Python6.5k724

• mlfoundations/task_vectors

  Editing Models with Task Arithmetic

  Language:Python40835

• tristandeleu/pytorch-meta

  A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

  Language:Python2k256

• mlfoundations/open_clip

  An open source implementation of CLIP.

  Language:Python9.9k956

• mpagli/Agree-to-Disagree

  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"

  Language:Jupyter Notebook344

• divelab/GOOD

  GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

  Language:Python18119

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.2k327

• 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, ... 🧠

  Language:Python54.4k5.6k

• facebookresearch/data2vec_vision

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python788

• SPOClab-ca/BENDR

  Language:Python17057

• kashif/pytorch-transformer-ts

  Repository of Transformer based PyTorch Time Series Models

  Language:Jupyter Notebook28541

• plotly/plotly.py

  The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

  Language:Python16.1k2.5k

• plasma-umass/scalene

  Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

  Language:Python11.6k387

• rentruewang/koila

  Prevent PyTorch's `CUDA error: out of memory` in just 1 line of code.

  Language:Python1.8k63

• jc-audet/WOODS

  Benchmarks for Out-of-Distribution Generalization in Time Series Tasks

  Language:Python6415

• p-lambda/wilds

  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

  Language:Python547126

• ynysjtu/ood_bench

  Language:Python478

• ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

  Tools to Design or Visualize Architecture of Neural Network

  4.4k568

• excitingtimes/awesome-survey-papers

  A collection of Survey Papers in Machine Learning

  21

• yang-song/score_sde

  Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

  Language:Jupyter Notebook1.4k198

• gabrevaya/LatentDiffEq.jl

  Latent Differential Equations models in Julia.

  Language:Julia376

• anuraghazra/github-readme-stats

  :zap: Dynamically generated stats for your github readmes

  Language:JavaScript68.6k22.5k