LLM101n: Let's build a Storyteller

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-t…

Notes and artifacts from the ONNX steering committee

Sharing Updatable Models (SUM) on Blockchain

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

🤖 The world's easiest, most powerful stock checker

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

C++ standards drafts

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Source-to-Source Debuggable Derivatives in Pure Python

MIMIC-Extract:A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III

Open standard for machine learning interoperability

Attempting to make the Deep Learning Book easier to understand.

Named Tensor implementation for Torch

ONNX to Core ML Converter

Submission to https://pytorch.org/hub/

Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.

A cheatsheet of modern C++ language and library features.

Perform data science on data that remains in someone else's server

CSE535 Asynchronous (Distributed) Systems 2019 Spring

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A PyTorch implementation of the Transformer model from "Attention Is All You Need".

Models and examples built with TensorFlow

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.