Rohith-Rongali

Rohith-Rongali's Stars

• pytorch-labs/gpt-fast

  Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

  Language:Python5.7k60106521

• benedekrozemberczki/awesome-decision-tree-papers

  A collection of research papers on decision, classification and regression trees with implementations.

  Language:Python2.4k1320335

• googlecolab/colabtools

  Python libraries for Google Colaboratory

  Language:Jupyter Notebook2.2k824.6k738

• KellerJordan/modded-nanogpt

  NanoGPT (124M) in 5 minutes

  Language:Python2k3128185

• autodiff/autodiff

  automatic differentiation made easier for C++

  Language:C++1.7k43195173

• SamLynnEvans/Transformer

  Transformer seq2seq model, program that can build a language translator from parallel corpus

  Language:Python1.4k1935350

• dmarx/anthology-of-modern-ml

  Collection of important articles to be treated as a textbook

  Language:Jupyter Notebook63719433

• gpu-mode/awesomeMLSys

  An ML Systems Onboarding list

  58915019

• patrick-kidger/lineax

  Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax

  Language:Python376114525

• facebookresearch/luckmatters

  Understanding Training Dynamics of Deep ReLU Networks

  Language:Python28414831

• lmarena/copilot-arena

  Language:Python21871510

• revalo/iceberg

  A compositional diagramming and animation library as an eDSL in Python

  Language:Python213366

• google-deepmind/nanodo

  Language:Python1988111

• f0uriest/interpax

  Interpolation and function approximation with JAX

  Language:Python13932411

• borchero/pycave

  Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.

  Language:Python12532713

• gregorbachmann/Next-Token-Failures

  Language:Python71226

• fbach2000/Learning_Theory_from_First_Principles

  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach

  Language:Jupyter Notebook57109

• probabilisticai/nordic-probai-2024

  Materials of the Nordic Probabilistic AI School 2024.

  Language:Jupyter Notebook577015

• amack315/unsupervised-steering-vectors

  Language:Jupyter Notebook28107

• srush/Tensor-Puzzles-Penzai

  Language:HTML20201

• chengxiang/LinearTransformer

  Pytorch code for experiments on Linear Transformers

  Language:Jupyter Notebook15304

• dyunis/spectral_dynamics

  Code for "Approaching Deep Learning through the Spectral Dynamics of Weights"

  Language:Python11201

• pcsl-epfl/hierarchy-learning

  Learning a hierarchical model of data with neural networks.

  Language:Python11205

• FlorentinGuth/Rainbow

  Code to reproduce experiments in "A Rainbow in Deep Network Black Boxes".

  Language:Jupyter Notebook50

• nmallinar/rfm-grokking

  Grokking modular arithmetic with recursive feature machines

  Language:Python4200

• pcsl-epfl/regressionsphere

  Train a neural network in feature and lazy regimes on a regression task defined on the hyper-sphere.

  Language:Python4200

• Tsili42/parity-nn

  Language:Python42

• aaronpmishkin/experiment_utils

  Utilities for running optimization and machine learning experiments.

  Language:Python3311

• rajatvd/gifify

  Language:Jupyter Notebook210

• rajatvd/sorcerun

  Tool to help manage and log computational experiments.

  Language:Python1100