josiahdavis's Stars
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
karpathy/LLM101n
LLM101n: Let's build a Storyteller
nvim-lua/kickstart.nvim
A launch point for your personal nvim configuration
Dao-AILab/flash-attention
Fast and memory-efficient exact attention
NVIDIA/DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Lightning-AI/litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
jzhang38/TinyLlama
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
jonbarron/website
XueFuzhao/OpenMoE
A family of open-sourced Mixture-of-Experts (MoE) Large Language Models
xl0/lovely-tensors
Tensors, for human consumption
konrad-gajdus/miniMNIST-c
dannysteenman/aws-toolbox
This repository contains a collection of awesome tools and scripts for Developers and Engineers seeking to automate routine tasks on AWS Cloud.
PiotrNawrot/nanoT5
Fast & Simple repository for pre-training and fine-tuning T5-style models
awslabs/fortuna
A Library for Uncertainty Quantification.
aws/amazon-ec2-instance-selector
A CLI tool and go library which recommends instance types based on resource criteria like vcpus and memory
LeoGrin/tabular-benchmark
fangpin/siamese-pytorch
Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot
smolorg/smolar
a tiny multidimensional array implementation in C similar to numpy, but only one file.
chaitjo/learning-tsp
Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)
smolorg/smolgrad
small auto-grad engine inspired from Karpathy's micrograd and PyTorch
awslabs/amazon-denseclus
Clustering for mixed-type data
awslabs/or-rl-benchmarks
The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
CentML/DeepView.Profile
🏙 Interactive performance profiling and debugging tool for PyTorch neural networks.
amzn/supply-chain-simulation-environment
aws-samples/amazon-sagemaker-feature-store-streaming-aggregation
This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.
ubermenchh/Flash
my little linear algebra library
aws-samples/python-data-science-template
Template for a modular, Python-based data science project.
aws-samples/amazon-sagemaker-tsp-deep-rl
train, deploy, and make inferences using deep reinforcement learning to solve the Travelling Salesperson Problem
pritishmishra703/Scikit-Learn-From-Scratch
Let's make all Machine learning algorithms from scratch!
josiahdavis/repgpt
Reproducing GPT2