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composable-datasets

Transform JSONL Q&A datasets to instruct format with ease

dynamic-quantization-gradio-space

Quantize ONNX models to lower precision using ONNX Runtime + Gradio.

gpt-vision-utils

GPT-4 utilities with 👀

gradientascent-jax

Custom gradient ascent solver (optimizer) for JAX/Flax models

griffin-jax

Jax implementation of "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"

human-assistant

Human & Assistant is a very simple library created to make transformations on conversational datasets for fine-tuning chat templates, compatibility with 🤗 Datasets.

jax-triton

jax-triton contains integrations between JAX and OpenAI Triton

jp-python-bare-kf

Jupyter Lab Python KF notebook environment configurations

kmeansops

PyKeops Powered K-Means Clustering Algorithms Module both on CPU & GPU

lmppl-cli-csv-wrapper

A tiny CLI wrapper around lmppl for Pre-Trained Language Models Perplexity Calculation for CSV files

longconv-jax

Jax/Flax/Linen implementation of "Simple Hardware-Efficient Long Convolutions for Sequence Modeling"

megabyte-pytorch-ds

Modificated DeepSpeed training setup fork of MEGABYTE - PyTorch by lucidrains, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch

minif2f-code

Dataset of formal Olympiad-level mathematics problems solved with Python code instructions.

mpi-ds

MPI Operator DeepSpeed Base Configuration for CIFAR-10

nature-biosci-embeddings

Nature Biosciences Research Paper Abstract Embeddings with Sentence Transformers

notes

palm-rlhf-pytorch-ds

Modificated DeepSpeed training setup fork of RLHF (Reinforcement Learning with Human Feedback) by lucidrains on top of the PaLM architecture. Basically ChatGPT but with PaLM

python-template

Python Package Template is all you need

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

ring-attention-jax

Packaged Ring Attention with Blockwise Transformers for Near-Infinite Context implemented in Jax + Flax.

sdcpt

A tiny package provides distance computations for PyTorch functions.

simba

A simpler Pytorch + Zeta Implementation of the paper: "SiMBA: Simplified Mamba-based Architecture for Vision and Multivariate Time series"

simudt

simudt.github.io

blog for the AI era

smooth-activations

Smooth ReLU activations in CUDA. Shamir, G., I. et al.

srt-transformer

A tiny CLI tool that transforms SRTs into word-by-word timestamped SRTs.

st-pipeline-cli

Simple SentenceTransformer pipeline example

tri-rmsnorm

Efficient kernel for RMS normalization with fused operations, includes both forward and backward passes, compatibility with PyTorch.

triton-activations

Collection of neural network activation function kernels for Triton Language Compiler by OpenAI

zeta

Build high-performance AI models with modular building blocks