Pinned Repositories
01-basics
02-higherorder
03-trees
04-classes
05-quickcheck
06-persistent
notemakers
Indian classical music generation with LSTM and CNN!
simple-nerf
fun, simple nerf. take many pictures of many things -> scene generation function
task-graphs
task assignment for multirobot teams with new, expressive task graph formulation. submitted to ICRA 2023.
vrp_summer2020
explored efficient routing and scheduling for truck-multidrone teams. see paper at link provided!
snarayan21's Repositories
snarayan21/04-classes
snarayan21/05-quickcheck
snarayan21/06-persistent
snarayan21/notemakers
Indian classical music generation with LSTM and CNN!
snarayan21/simple-nerf
fun, simple nerf. take many pictures of many things -> scene generation function
snarayan21/task-graphs
task assignment for multirobot teams with new, expressive task graph formulation. submitted to ICRA 2023.
snarayan21/07-GADTs
snarayan21/08-monads
snarayan21/09-state
snarayan21/adaptive_sampling
Multi-agent adaptive & online sampling with DQN!
snarayan21/composer-test-ckpts
Generate composer checkpoints for testing
snarayan21/comPyler
python compiler in haskell! with quickcheck and dead code elimination.
snarayan21/digit_recognition
handwritten digit recognition with CNN
snarayan21/float8_experimental
This repository contains the experimental PyTorch native float8 training UX
snarayan21/github_app
github app
snarayan21/grouped_gemm
PyTorch bindings for CUTLASS grouped GEMM.
snarayan21/megablocks
snarayan21/msccl_algos
synthesis of collective comms algos with msccl
snarayan21/nemo-repro
snarayan21/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
snarayan21/programming_massively_parallel_processors
Code and exercises from the book Programming Massively Parallel Processors
snarayan21/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
snarayan21/pytorch-foundations
snarayan21/REPO
Our 2 cents of python experience. Open for everyone
snarayan21/saaketh-composer
Train neural networks up to 7x faster. saaketh version
snarayan21/saaketh-examples
Fast and flexible reference benchmarks
snarayan21/saaketh-llm-foundry
LLM training code for MosaicML foundation models
snarayan21/saaketh-streaming
A Data Streaming Library for Efficient Neural Network Training
snarayan21/streaming-simulator
Simulator for throughput and network use with mosaicml-streaming.
snarayan21/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.