The best ChatGPT that $100 can buy.

C++ standards drafts

Efficient Triton Kernels for LLM Training

LLM training in SYCL

Tile primitives for speedy kernels

Example models using DeepSpeed

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

Julia support for the oneAPI programming toolkit.

Compiler for multiple programming models (SYCL, C++ standard parallelism, HIP/CUDA) for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous progra…

Train transformer language models with reinforcement learning.

Intel(R) Open Path Guiding Library

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

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.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

Code for the paper "Language Models are Unsupervised Multitask Learners"

Presentation of the session on Diffusion Principles on behalf of Analytics Vidhya datahour. Youtube: https://www.youtube.com/watch?v=DIdbsfzK7IUtube:

Deep Reinforcement Learning for Trading

A curated list of network embedding techniques.

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

DeepFaceLab is the leading software for creating deepfakes.

Source Code for 'Deep Reinforcement Learning in Unity' by Abhilash Majumder

Course Submission Material for Resnet based object detection for Udacity Self Driving NanoDegree.

LongPegasus package is used for inducing longformer self attention over base pegasus abstractive summarization model to increase the token limit and performance.

This package is a Tensorflow2/Keras implementation for Graph Attention Network embeddings and also provides a Trainable layer for Multihead Graph Attention.

spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoencoders. Variations include VanillaGCN,ChebyshevGCN and Splin…

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

Materials and Resources for the EuroPython 21 Talk on "Introduction to Quantum Deep Learning" on 28/7/2021.

A notebook containing implementations of different graph deep node embeddings along with benchmark graph neural network models in tensorflow. This has been taken from https://www.kaggle.com/abhilas…