sudhakarsingh27 Goto Github PK

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

deeplearningexamples

Deep Learning Examples

diy

dummyapp

dummyapp2

firmware

firstapp

Sharing first app on github.

flax

Flax is a neural network library for JAX that is designed for flexibility.

github-actions-playground

h100-performance-tests

learning_rl

lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

marrnet

MarrNet: 3D Shape Reconstruction via 2.5D Sketches

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nemo

NeMo: a toolkit for conversational AI

networksniffer

nlp_experiments

pilot

mission: gauge depth

practice

ALL Practice code

practicecoding

protoquant

Prototype routines for GPU quantization written using PyTorch.

ptpd

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qiskit-textbook

A university quantum algorithms/computation course supplement based on Qiskit

qiskit-tutorials

A collection of Jupyter notebooks from the community and qiskit developers showing how to use Qiskit

rawethernetpkt

sending raw ethernet packets on the interface

sudhakarsingh27.github.io

My personal website

t5x