Tanmoy's repositories
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
alphafold
Open source code for AlphaFold.
babymap
Manifold projection for Babies
backend
[Graphsitry + Triton] backend for accelerated graph inference ⚡️
codeforces-haskell
Codeforces solutions in Haskell
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
dm-haiku
JAX-based neural network library
dotfiles
Environment dotfiles
github-nvim-theme
Github theme for Neovim and Terminals written in Lua
ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
MarkovJunior
Probabilistic PL based on pattern matching and constraint propagation, 148 examples
Megatron-DeepSpeed
Ongoing research training transformer language models at scale, including: BERT & GPT-2
Morpheus
Morpheus SDK
MRC
Morpheus Runtime Core (MRC)
numpy
The fundamental package for scientific computing with Python.
open-gpu-kernel-modules
NVIDIA Linux open GPU kernel module source
pygraphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch_geometric
Graph Neural Network Library for PyTorch
tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
TransformerEngine
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper GPUs, to provide better performance with lower memory utilization in both training and inference.