Rohith-Rongali

Rohith-Rongali's Stars

• dsgissin/Incremental-Learning

  Code for the paper "The Implicit Bias of Depth: How Incremental Learning Drives Generalization"

  Language:Python7

• google/neural-tangents

  Fast and Easy Infinite Neural Networks in Python

  Language:Jupyter Notebook2.3k227

• harshays/simplicitybiaspitfalls

  The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)

  Language:Jupyter Notebook3911

• bmild/nerf

  Code release for NeRF (Neural Radiance Fields)

  Language:Jupyter Notebook10.1k1.4k

• ykasten/Convergence-Rate-NN-Different-Frequencies

  Language:Python101

• leehanchung/cs182

  Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks

  Language:Jupyter Notebook8124

• jiaweizzhao/ZerO-initialization

  Language:Jupyter Notebook725

• tysam-code/hlb-CIFAR10

  Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)

  Language:Python1.2k75

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.8k2.3k

• google-deepmind/jax_verify

  Neural network verification in JAX

  Language:Python14128

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.4k664

• anishathalye/gemini

  Gemini is a modern LaTex beamerposter theme 🖼

  Language:TeX1k232

• gwisk/gradguide

  A guide on STEM PhD admissions

  43339

• xinychen/awesome-latex-drawing

  Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

  Language:TeX1.4k158

• pytorch/examples

  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  Language:Python22.6k9.6k

• jbhuang0604/awesome-tips

  3.5k197

• automl/labwatch

  An extension to Sacred for automated hyperparameter optimization.

  Language:Python5919

• IDSIA/sacred

  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

  Language:Python4.3k384

• mostafatouny/awesome-theoretical-computer-science

  The interdicplinary of Mathematics and Computer Science, Distinguisehed by its emphasis on mathemtical technique and rigour.

  Language:Python78948

• epfml/OptML_course

  EPFL Course - Optimization for Machine Learning - CS-439

  Language:Jupyter Notebook1.2k322

• fiveai/making-better-mistakes

  Language:Python636